Please refer to the errata for this document, which may include some normative corrections.
This document is also available in this non-normative format: diff to previous version
The English version of this specification is the only normative version. Non-normative translations may also be available.
Copyright
©
2010-2013
2010-2014
W3C
®
(
MIT
,
ERCIM
,
Keio
,
Beihang
),
All
Rights
Reserved.
W3C
liability
,
trademark
and
document
use
rules
apply.
This specification defines a set of algorithms for programmatic transformations of JSON-LD documents. Restructuring data according to the defined transformations often dramatically simplifies its usage. Furthermore, this document proposes an Application Programming Interface (API) for developers implementing the specified algorithms.
This section describes the status of this document at the time of its publication. Other documents may supersede this document. A list of current W3C publications and the latest revision of this technical report can be found in the W3C technical reports index at http://www.w3.org/TR/.
This
document
has
been
under
development
for
over
31
months
reviewed
by
W3C
Members,
by
software
developers,
and
by
other
W3C
groups
and
interested
parties,
and
is
endorsed
by
the
Director
as
a
W3C
Recommendation.
It
is
a
stable
document
and
may
be
used
as
reference
material
or
cited
from
another
document.
W3C
's
role
in
making
the
Recommendation
is
to
draw
attention
to
the
specification
and
to
promote
its
widespread
deployment.
This
enhances
the
functionality
and
interoperability
of
the
Web.
This
specification
has
been
developed
by
the
JSON
for
Linking
Data
Community
Group.
The
document
Group
before
it
has
been
transferred
to
the
RDF
Working
Group
for
review,
improvement,
and
publication
along
the
Recommendation
track.
The
specification
has
undergone
significant
development,
review,
and
document
contains
small
editorial
changes
arising
from
comments
received
during
the
course
of
Proposed
Recommendation
review;
see
the
last
31
months.
diff-marked
version
for
details.
There
are
several
independent
interoperable
implementations
of
this
specification.
There
is
a
fairly
complete
test
suite
[
JSON-LD-TESTS
]
and
a
live
JSON-LD
editor
An
implementation
report
that
is
capable
as
of
demonstrating
the
features
described
in
this
document.
While
there
will
be
continuous
development
on
implementations,
the
test
suite,
and
the
live
editor,
they
are
believed
to
be
mature
enough
to
be
integrated
into
a
non-production
system
at
this
point
in
time.
There
October 2013
is
an
expectation
that
they
could
be
used
in
a
production
system
within
the
next
two
months.
available.
Changes
since
the
10 September 2013
Candidate
Recommendation
:
Fixed
a
bug
that
relabeled
blank
node
identifiers
used
with
reverse
properties
inconsistently
when
creating
a
node
map
.
Made
the
API
non-normative
given
that
Promises
are
still
not
properly
specified.
This
document
was
published
by
the
RDF
Working
Group
as
a
Proposed
Recommendation.
This
document
is
intended
to
become
a
W3C
Recommendation.
The
W3C
Membership
and
other
interested
parties
are
invited
If
you
wish
to
review
the
document
and
send
make
comments
regarding
this
document,
please
send
them
to
public-rdf-comments@w3.org
(
subscribe
,
archives
)
through
05
December
2013.
Advisory
Committee
Representatives
should
consult
their
WBS
questionnaires
.
Note
that
substantive
technical
).
All
comments
were
expected
during
the
Last
Call
review
period
that
ended
06
June
2013.
Publication
as
a
Proposed
Recommendation
does
not
imply
endorsement
by
the
W3C
Membership.
This
is
a
draft
document
and
may
be
updated,
replaced
or
obsoleted
by
other
documents
at
any
time.
It
is
inappropriate
to
cite
this
document
as
other
than
work
in
progress.
are
welcome.
This document was produced by a group operating under the 5 February 2004 W3C Patent Policy . W3C maintains a public list of any patent disclosures made in connection with the deliverables of the group; that page also includes instructions for disclosing a patent. An individual who has actual knowledge of a patent which the individual believes contains Essential Claim(s) must disclose the information in accordance with section 6 of the W3C Patent Policy .
This section is non-normative.
This document is a detailed specification of the JSON-LD processing algorithms. The document is primarily intended for the following audiences:
To understand the basics in this specification you must first be familiar with JSON, which is detailed in [ RFC4627 ]. You must also understand the JSON-LD syntax defined in [ JSON-LD ], which is the base syntax used by all of the algorithms in this document. To understand the API and how it is intended to operate in a programming environment, it is useful to have working knowledge of the JavaScript programming language [ ECMA-262 ] and WebIDL [ WEBIDL ]. To understand how JSON-LD maps to RDF, it is helpful to be familiar with the basic RDF concepts [ RDF11-CONCEPTS ].
This section is non-normative.
The JSON-LD Syntax specification [ JSON-LD ] defines a syntax to express Linked Data in JSON. Because there is more than one way to express Linked Data using this syntax, it is often useful to be able to transform JSON-LD documents so that they may be more easily consumed by specific applications.
JSON-LD uses contexts to allow Linked Data to be expressed in a way that is specifically tailored to a particular person or application. By providing a context , JSON data can be expressed in a way that is a natural fit for a particular person or application whilst also indicating how the data should be understood at a global scale. In order for people or applications to share data that was created using a context that is different from their own, a JSON-LD processor must be able to transform a document from one context to another. Instead of requiring JSON-LD processors to write specific code for every imaginable context switching scenario, it is much easier to specify a single algorithm that can remove any context . Similarly, another algorithm can be specified to subsequently apply any context . These two algorithms represent the most basic transformations of JSON-LD documents. They are referred to as expansion and compaction , respectively.
There are four major types of transformation that are discussed in this document: expansion, compaction, flattening, and RDF serialization/deserialization.
This section is non-normative.
The algorithm that removes context is called expansion . Before performing any other transformations on a JSON-LD document, it is easiest to remove any context from it and to make data structures more regular.
To get an idea of how context and data structuring affects the same data, here is an example of JSON-LD that uses only terms and is fairly compact:
{ "@context": { "name": "http://xmlns.com/foaf/0.1/name", "homepage": { "@id": "http://xmlns.com/foaf/0.1/homepage", "@type": "@id" } }, "@id": "http://me.markus-lanthaler.com/", "name": "Markus Lanthaler", "homepage": "http://www.markus-lanthaler.com/" }
The next input example uses one IRI to express a property and an array to encapsulate another, but leaves the rest of the information untouched.
{ "@context": { "website": "http://xmlns.com/foaf/0.1/homepage" }, "@id": "http://me.markus-lanthaler.com/", "http://xmlns.com/foaf/0.1/name": "Markus Lanthaler", "website": { "@id": "http://www.markus-lanthaler.com/" } }
Note that both inputs are valid JSON-LD and both represent the same information. The difference is in their context information and in the data structures used. A JSON-LD processor can remove context and ensure that the data is more regular by employing expansion .
Expansion
has
two
important
goals:
removing
any
contextual
information
from
the
document,
and
ensuring
all
values
are
represented
in
a
regular
form.
These
goals
are
accomplished
by
expanding
all
properties
to
absolute
IRIs
and
by
expressing
all
values
in
arrays
in
expanded
form
.
Expanded
form
is
the
most
verbose
and
regular
way
of
expressing
of
values
in
JSON-LD;
all
contextual
information
from
the
document
is
instead
stored
locally
with
each
value.
Running
the
Expansion
algorithm
(
expand
operation)
against
the
above
examples
results
in
the
following
output:
[ { "@id": "http://me.markus-lanthaler.com/", "http://xmlns.com/foaf/0.1/name": [ { "@value": "Markus Lanthaler" } ], "http://xmlns.com/foaf/0.1/homepage": [ { "@id": "http://www.markus-lanthaler.com/" } ] } ]
Note that in the output above all context definitions have been removed, all terms and compact IRIs have been expanded to absolute IRIs , and all JSON-LD values are expressed in arrays in expanded form . While the output is more verbose and difficult for a human to read, it establishes a baseline that makes JSON-LD processing easier because of its very regular structure.
This section is non-normative.
While expansion removes context from a given input, compaction's primary function is to perform the opposite operation: to express a given input according to a particular context . Compaction applies a context that specifically tailors the way information is expressed for a particular person or application. This simplifies applications that consume JSON or JSON-LD by expressing the data in application-specific terms, and it makes the data easier to read by humans.
Compaction uses a developer-supplied context to shorten IRIs to terms or compact IRIs and JSON-LD values expressed in expanded form to simple values such as strings or numbers .
For example, assume the following expanded JSON-LD input document:
[ { "@id": "http://me.markus-lanthaler.com/", "http://xmlns.com/foaf/0.1/name": [ { "@value": "Markus Lanthaler" } ], "http://xmlns.com/foaf/0.1/homepage": [ { "@id": "http://www.markus-lanthaler.com/" } ] } ]
Additionally, assume the following developer-supplied JSON-LD context :
{ "@context": { "name": "http://xmlns.com/foaf/0.1/name", "homepage": { "@id": "http://xmlns.com/foaf/0.1/homepage", "@type": "@id" } } }
Running
the
Compaction
Algorithm
(
compact
operation)
given
the
context
supplied
above
against
the
JSON-LD
input
document
provided
above
would
result
in
the
following
output:
{ "@context": { "name": "http://xmlns.com/foaf/0.1/name", "homepage": { "@id": "http://xmlns.com/foaf/0.1/homepage", "@type": "@id" } }, "@id": "http://me.markus-lanthaler.com/", "name": "Markus Lanthaler", "homepage": "http://www.markus-lanthaler.com/" }
Note
that
all
IRIs
have
been
compacted
to
terms
as
specified
in
the
context
,
which
has
been
injected
into
the
output.
While
compacted
output
is
useful
to
humans,
it
is
also
used
to
generate
structures
that
are
easy
to
program
against.
Compaction
enables
developers
to
map
any
expanded
document
into
an
application-specific
compacted
document.
While
the
context
provided
above
mapped
http://xmlns.com/foaf/0.1/name
to
name
,
it
could
also
have
been
mapped
to
any
other
term
provided
by
the
developer.
This section is non-normative.
While expansion ensures that a document is in a uniform structure, flattening goes a step further to ensure that the shape of the data is deterministic. In expanded documents, the properties of a single node may be spread across a number of different JSON objects . By flattening a document, all properties of a node are collected in a single JSON object and all blank nodes are labeled with a blank node identifier . This may drastically simplify the code required to process JSON-LD data in certain applications.
For example, assume the following JSON-LD input document:
{ "@context": { "name": "http://xmlns.com/foaf/0.1/name", "knows": "http://xmlns.com/foaf/0.1/knows" }, "@id": "http://me.markus-lanthaler.com/", "name": "Markus Lanthaler", "knows": [ { "name": "Dave Longley" } ] }
Running
the
Flattening
algorithm
(
flatten
operation)
with
a
context
set
to
null
to
prevent
compaction
returns
the
following
document:
[ { "@id": "_:t0", "http://xmlns.com/foaf/0.1/name": [ { "@value": "Dave Longley" } ] }, { "@id": "http://me.markus-lanthaler.com/", "http://xmlns.com/foaf/0.1/name": [ { "@value": "Markus Lanthaler" } ], "http://xmlns.com/foaf/0.1/knows": [ { "@id": "_:t0" } ] } ]
Note
how
in
the
output
above
all
properties
of
a
node
are
collected
in
a
single
JSON
object
and
how
the
blank
node
representing
"Dave
Longley"
has
been
assigned
the
blank
node
identifier
_:t0
.
To make it easier for humans to read or for certain applications to process it, a flattened document can be compacted by passing a context. Using the same context as the input document, the flattened and compacted document looks as follows:
{ "@context": { "name": "http://xmlns.com/foaf/0.1/name", "knows": "http://xmlns.com/foaf/0.1/knows" }, "@graph": [ { "@id": "_:t0", "name": "Dave Longley" }, { "@id": "http://me.markus-lanthaler.com/", "name": "Markus Lanthaler", "knows": { "@id": "_:t0" } } ] }
Please
note
that
the
result
of
flattening
and
compacting
a
document
is
always
a
JSON
object
which
contains
an
@graph
member
that
represents
the
default
graph
.
This section is non-normative.
JSON-LD can be used to serialize RDF data as described in [ RDF11-CONCEPTS ]. This ensures that data can be round-tripped to and from any RDF syntax without any loss in fidelity.
For example, assume the following RDF input serialized in Turtle [ TURTLE ]:
<http://me.markus-lanthaler.com/> <http://xmlns.com/foaf/0.1/name> "Markus Lanthaler" . <http://me.markus-lanthaler.com/> <http://xmlns.com/foaf/0.1/homepage> <http://www.markus-lanthaler.com/> .
Using the Serialize RDF as JSON-LD algorithm a developer could transform this document into expanded JSON-LD:
[ { "@id": "http://me.markus-lanthaler.com/", "http://xmlns.com/foaf/0.1/name": [ { "@value": "Markus Lanthaler" } ], "http://xmlns.com/foaf/0.1/homepage": [ { "@id": "http://www.markus-lanthaler.com/" } ] } ]
Note that the output above could easily be compacted using the technique outlined in the previous section. It is also possible to deserialize the JSON-LD document back to RDF using the Deserialize JSON-LD to RDF algorithm .
All examples and notes as well as sections marked as non-normative in this specification are non-normative. Everything else in this specification is normative.
The keywords MUST , MUST NOT , REQUIRED , SHOULD , SHOULD NOT , RECOMMENDED , MAY , and OPTIONAL in this specification are to be interpreted as described in [ RFC2119 ].
There are two classes of products that can claim conformance to this specification: JSON-LD Processors , and RDF Serializers/Deserializers .
A conforming JSON-LD Processor is a system which can perform the Expansion , Compaction , and Flattening operations defined in this specification.
JSON-LD Processors MUST NOT attempt to correct malformed IRIs or language tags; however, they MAY issue validation warnings. IRIs are not modified other than conversion between relative and absolute IRIs .
A conforming RDF Serializer/Deserializer is a system that can deserialize JSON-LD to RDF and serialize RDF as JSON-LD as defined in this specification.
The algorithms in this specification are generally written with more concern for clarity than efficiency. Thus, JSON-LD Processors may implement the algorithms given in this specification in any way desired, so long as the end result is indistinguishable from the result that would be obtained by the specification's algorithms.
Implementers can partially check their level of conformance to this specification by successfully passing the test cases of the JSON-LD test suite [ JSON-LD-TESTS ]. Note, however, that passing all the tests in the test suite does not imply complete conformance to this specification. It only implies that the implementation conforms to aspects tested by the test suite.
This document uses the following terms as defined in JSON [ RFC4627 ]. Refer to the JSON Grammar section in [ RFC4627 ] for formal definitions.
@context
where
the
value,
or
the
@id
of
the
value,
is
null
explicitly
decouples
a
term's
association
with
an
IRI
.
A
key-value
pair
in
the
body
of
a
JSON-LD
document
whose
value
is
null
has
the
same
meaning
as
if
the
key-value
pair
was
not
defined.
If
@value
,
@list
,
or
@set
is
set
to
null
in
expanded
form,
then
the
entire
JSON
object
is
ignored.
Furthermore, the following terminology is used throughout this document:
_:
.
@context
keyword
.
@value
,
@list
,
or
@set
keywords,
or
@graph
and
@context
.
@value
member.
@list
member.
@set
member.
When processing a JSON-LD data structure, each processing rule is applied using information provided by the active context . This section describes how to produce an active context .
The active context contains the active term definitions which specify how properties and values have to be interpreted as well as the current base IRI , the vocabulary mapping and the default language . Each term definition consists of an IRI mapping , a boolean flag reverse property , an optional type mapping or language mapping , and an optional container mapping . A term definition can not only be used to map a term to an IRI , but also to map a term to a keyword , in which case it is referred to as a keyword alias .
When processing, the active context is initialized without any term definitions , vocabulary mapping , or default language . If a local context is encountered during processing, a new active context is created by cloning the existing active context . Then the information from the local context is merged into the new active context . Given that local contexts may contain references to remote contexts, this includes their retrieval.
This section is non-normative.
First we prepare a new active context result by cloning the current active context . Then we normalize the form of the passed local context to an array . Local contexts may be in the form of a JSON object , a string , or an array containing a combination of the two. Finally we process each context contained in the local context array as follows.
If
context
is
a
string
,
it
represents
a
reference
to
a
remote
context.
We
dereference
the
remote
context
and
replace
context
with
the
value
of
the
@context
key
of
the
top-level
object
in
the
retrieved
JSON-LD
document.
If
there's
no
such
key,
an
invalid
remote
context
has
been
detected.
Otherwise,
we
process
context
by
recursively
using
this
algorithm
ensuring
that
there
is
no
cyclical
reference.
If
context
is
a
JSON
object
,
we
first
update
the
base
IRI
,
the
vocabulary
mapping
,
and
the
default
language
by
processing
three
specific
keywords:
@base
,
@vocab
,
and
@language
.
These
are
handled
before
any
other
keys
in
the
local
context
because
they
affect
how
the
other
keys
are
processed.
Please
note
that
@base
is
ignored
when
processing
remote
contexts.
Then, for every other key in local context , we update the term definition in result . Since term definitions in a local context may themselves contain terms or compact IRIs , we may need to recurse. When doing so, we must ensure that there is no cyclical dependency, which is an error. After we have processed any term definition dependencies, we update the current term definition , which may be a keyword alias .
Finally, we return result as the new active context .
This algorithm specifies how a new active context is updated with a local context . The algorithm takes three input variables: an active context , a local context , and an array remote contexts which is used to detect cyclical context inclusions. If remote contexts is not passed, it is initialized to an empty array .
base
option
of
a
JSON-LD
API
Implementation
overrides
the
base
IRI
.
recursive
context
inclusion
error
has
been
detected
and
processing
is
aborted;
otherwise,
add
context
to
remote
contexts
.
loading
remote
context
failed
error
has
been
detected
and
processing
is
aborted.
If
the
dereferenced
document
has
no
top-level
JSON
object
with
an
@context
member,
an
invalid
remote
context
has
been
detected
and
processing
is
aborted;
otherwise,
set
context
to
the
value
of
that
member.
invalid
local
context
error
has
been
detected
and
processing
is
aborted.
@base
key
and
remote
contexts
is
empty,
i.e.,
the
currently
being
processed
context
is
not
a
remote
context:
@base
key.
invalid
base
IRI
error
has
been
detected
and
processing
is
aborted.
@vocab
key:
@vocab
key.
invalid
vocab
mapping
error
has
been
detected
and
processing
is
aborted.
@language
key:
@language
key.
invalid
default
language
error
has
been
detected
and
processing
is
aborted.
@base
,
@vocab
,
or
@language
,
invoke
the
Create
Term
Definition
algorithm
,
passing
result
for
active
context
,
context
for
local
context
,
key
,
and
defined
.
This algorithm is called from the Context Processing algorithm to create a term definition in the active context for a term being processed in a local context .
This section is non-normative.
Term definitions are created by parsing the information in the given local context for the given term . If the given term is a compact IRI , it may omit an IRI mapping by depending on its prefix having its own term definition . If the prefix is a key in the local context , then its term definition must first be created, through recursion, before continuing. Because a term definition can depend on other term definitions , a mechanism must be used to detect cyclical dependencies. The solution employed here uses a map, defined , that keeps track of whether or not a term has been defined or is currently in the process of being defined. This map is checked before any recursion is attempted.
After all dependencies for a term have been defined, the rest of the information in the local context for the given term is taken into account, creating the appropriate IRI mapping , container mapping , and type mapping or language mapping for the term .
The algorithm has four required inputs which are: an active context , a local context , a term , and a map defined .
cyclic
IRI
mapping
error
has
been
detected
and
processing
is
aborted.
keyword
redefinition
error
has
been
detected
and
processing
is
aborted.
@id
-
null
,
set
the
term
definition
in
active
context
to
null
,
set
the
value
associated
with
defined
's
key
term
to
true
,
and
return.
@id
and
whose
value
is
value
.
invalid
term
definition
error
has
been
detected
and
processing
is
aborted.
@type
:
@type
key,
which
must
be
a
string
.
Otherwise,
an
invalid
type
mapping
error
has
been
detected
and
processing
is
aborted.
@id
,
nor
@vocab
,
nor
an
absolute
IRI
,
an
invalid
type
mapping
error
has
been
detected
and
processing
is
aborted.
@reverse
:
@id
,
member,
an
invalid
reverse
property
error
has
been
detected
and
processing
is
aborted.
@reverse
key
is
not
a
string
,
an
invalid
IRI
mapping
error
has
been
detected
and
processing
is
aborted.
@reverse
key
for
value
,
true
for
vocab
,
false
for
document
relative
,
local
context
,
and
defined
.
If
the
result
is
neither
an
absolute
IRI
nor
a
blank
node
identifier
,
i.e.,
it
contains
no
colon
(
:
),
an
invalid
IRI
mapping
error
has
been
detected
and
processing
is
aborted.
@container
member,
set
the
container
mapping
of
definition
to
its
value;
if
its
value
is
neither
@set
,
nor
@index
,
nor
null
,
an
invalid
reverse
property
error
has
been
detected
(reverse
properties
only
support
set-
and
index-containers)
and
processing
is
aborted.
@id
and
its
value
does
not
equal
term
:
@id
key
is
not
a
string
,
an
invalid
IRI
mapping
error
has
been
detected
and
processing
is
aborted.
@id
key
for
value
,
true
for
vocab
,
false
for
document
relative
,
local
context
,
and
defined
.
If
the
resulting
IRI
mapping
is
neither
a
keyword
,
nor
an
absolute
IRI
,
nor
a
blank
node
identifier
,
an
invalid
IRI
mapping
error
has
been
detected
and
processing
is
aborted;
if
it
equals
@context
,
an
invalid
keyword
alias
error
has
been
detected
and
processing
is
aborted.
:
):
invalid
IRI
mapping
error
been
detected
and
processing
is
aborted.
@container
:
@container
key,
which
must
be
either
@list
,
@set
,
@index
,
or
@language
.
Otherwise,
an
invalid
container
mapping
error
has
been
detected
and
processing
is
aborted.
@language
and
does
not
contain
the
key
@type
:
@language
key,
which
must
be
either
null
or
a
string
.
Otherwise,
an
invalid
language
mapping
error
has
been
detected
and
processing
is
aborted.
In JSON-LD documents, some keys and values may represent IRIs . This section defines an algorithm for transforming a string that represents an IRI into an absolute IRI or blank node identifier . It also covers transforming keyword aliases into keywords .
IRI expansion may occur during context processing or during any of the other JSON-LD algorithms. If IRI expansion occurs during context processing, then the local context and its related defined map from the Context Processing algorithm are passed to this algorithm. This allows for term definition dependencies to be processed via the Create Term Definition algorithm .
This section is non-normative.
In order to expand value to an absolute IRI , we must first determine if it is null , a term , a keyword alias , or some form of IRI . Based on what we find, we handle the specific kind of expansion; for example, we expand a keyword alias to a keyword and a term to an absolute IRI according to its IRI mapping in the active context . While inspecting value we may also find that we need to create term definition dependencies because we're running this algorithm during context processing. We can tell whether or not we're running during context processing by checking local context against null . We know we need to create a term definition in the active context when value is a key in the local context and the defined map does not have a key for value with an associated value of true . The defined map is used during Context Processing to keep track of which terms have already been defined or are in the process of being defined. We create a term definition by using the Create Term Definition algorithm .
The
algorithm
takes
two
required
and
four
optional
input
variables.
The
required
inputs
are
an
active
context
and
a
value
to
be
expanded.
The
optional
inputs
are
two
flags,
document
relative
and
vocab
,
that
specifying
whether
value
can
be
interpreted
as
a
relative
IRI
against
the
document's
base
IRI
or
the
active
context's
vocabulary
mapping
,
respectively,
and
a
local
context
and
a
map
defined
to
be
used
when
this
algorithm
is
used
during
Context
Processing
.
If
not
passed,
the
two
flags
are
set
to
false
and
local
context
and
defined
are
initialized
to
null
.
:
),
it
is
either
an
absolute
IRI
,
a
compact
IRI
,
or
a
blank
node
identifier
:
:
).
_
)
or
suffix
begins
with
double-forward-slash
(
//
),
return
value
as
it
is
already
an
absolute
IRI
or
a
blank
node
identifier
.
This algorithm expands a JSON-LD document, such that all context definitions are removed, all terms and compact IRIs are expanded to absolute IRIs , blank node identifiers , or keywords and all JSON-LD values are expressed in arrays in expanded form .
This section is non-normative.
Starting with its root element , we can process the JSON-LD document recursively, until we have a fully expanded result . When expanding an element , we can treat each one differently according to its type, in order to break down the problem:
Finally, after ensuring result is in an array , we return result .
The algorithm takes three input variables: an active context , an active property , and an element to be expanded. To begin, the active property is set to null , and element is set to the JSON-LD input .
@graph
,
drop
the
free-floating
scalar
by
returning
null
.
@list
or
its
container
mapping
is
set
to
@list
,
the
expanded
item
must
not
be
an
array
or
a
list
object
,
otherwise
a
list
of
lists
error
has
been
detected
and
processing
is
aborted.
@context
,
set
active
context
to
the
result
of
the
Context
Processing
algorithm
,
passing
active
context
and
the
value
of
the
@context
key
as
local
context
.
@context
,
continue
to
the
next
key
.
:
)
nor
it
is
a
keyword
,
drop
key
by
continuing
to
the
next
key
.
@reverse
,
an
invalid
reverse
property
map
error
has
been
detected
and
processing
is
aborted.
colliding
keywords
error
has
been
detected
and
processing
is
aborted.
@id
and
value
is
not
a
string
,
an
invalid
@id
value
error
has
been
detected
and
processing
is
aborted.
Otherwise,
set
expanded
value
to
the
result
of
using
the
IRI
Expansion
algorithm
,
passing
active
context
,
value
,
and
true
for
document
relative
.
@type
and
value
is
neither
a
string
nor
an
array
of
strings
,
an
invalid
type
value
error
has
been
detected
and
processing
is
aborted.
Otherwise,
set
expanded
value
to
the
result
of
using
the
IRI
Expansion
algorithm
,
passing
active
context
,
true
for
vocab
,
and
true
for
document
relative
to
expand
the
value
or
each
of
its
items.
@graph
,
set
expanded
value
to
the
result
of
using
this
algorithm
recursively
passing
active
context
,
@graph
for
active
property
,
and
value
for
element
.
@value
and
value
is
not
a
scalar
or
null
,
an
invalid
value
object
value
error
has
been
detected
and
processing
is
aborted.
Otherwise,
set
expanded
value
to
value
.
If
expanded
value
is
null
,
set
the
@value
member
of
result
to
null
and
continue
with
the
next
key
from
element
.
Null
values
need
to
be
preserved
in
this
case
as
the
meaning
of
an
@type
member
depends
on
the
existence
of
an
@value
member.
@language
and
value
is
not
a
string
,
an
invalid
language-tagged
string
error
has
been
detected
and
processing
is
aborted.
Otherwise,
set
expanded
value
to
lowercased
value
.
@index
and
value
is
not
a
string
,
an
invalid
@index
value
error
has
been
detected
and
processing
is
aborted.
Otherwise,
set
expanded
value
to
value
.
@list
:
@graph
,
continue
with
the
next
key
from
element
to
remove
the
free-floating
list.
list
of
lists
error
has
been
detected
and
processing
is
aborted.
@set
,
set
expanded
value
to
the
result
of
using
this
algorithm
recursively,
passing
active
context
,
active
property
,
and
value
for
element
.
@reverse
and
value
is
not
a
JSON
object
,
an
invalid
@reverse
value
error
has
been
detected
and
processing
is
aborted.
Otherwise
@reverse
as
active
property
,
and
value
as
element
.
@reverse
member,
i.e.,
properties
that
are
reversed
twice,
execute
for
each
of
its
property
and
item
the
following
steps:
@reverse
:
@reverse
member,
create
one
and
set
its
value
to
an
empty
JSON
object
.
@reverse
member
in
result
using
the
variable
reverse
map
.
@reverse
:
invalid
reverse
property
value
has
been
detected
and
processing
is
aborted.
@language
and
value
is
a
JSON
object
then
value
is
expanded
from
a
language
map
as
follows:
invalid
language
map
value
error
has
been
detected
and
processing
is
aborted.
@value
-
item
)
and
(
@language
-lowercased
language
).
@index
and
value
is
a
JSON
object
then
value
is
expanded
from
an
index
map
as
follows:
@index
,
add
the
key-value
pair
(
@index
-
index
)
to
item
.
@list
and
expanded
value
is
not
already
a
list
object
,
convert
expanded
value
to
a
list
object
by
first
setting
it
to
an
array
containing
only
expanded
value
if
it
is
not
already
an
array
,
and
then
by
setting
it
to
a
JSON
object
containing
the
key-value
pair
@list
-
expanded
value
.
@reverse
member,
create
one
and
initialize
its
value
to
an
empty
JSON
object
.
@reverse
member
in
result
using
the
variable
reverse
map
.
invalid
reverse
property
value
has
been
detected
and
processing
is
aborted.
@value
:
@value
,
@language
,
@type
,
and
@index
.
It
must
not
contain
both
the
@language
key
and
the
@type
key.
Otherwise,
an
invalid
value
object
error
has
been
detected
and
processing
is
aborted.
@value
key
is
null
,
then
set
result
to
null
.
@value
member
is
not
a
string
and
result
contains
the
key
@language
,
an
invalid
language-tagged
value
error
has
been
detected
(only
strings
can
be
language-tagged)
and
processing
is
aborted.
@type
member
and
its
value
is
not
an
IRI
,
an
invalid
typed
value
error
has
been
detected
and
processing
is
aborted.
@type
and
its
associated
value
is
not
an
array
,
set
it
to
an
array
containing
only
the
associated
value.
@set
or
@list
:
@index
.
Otherwise,
an
invalid
set
or
list
object
error
has
been
detected
and
processing
is
aborted.
@set
,
then
set
result
to
the
key's
associated
value.
@language
,
set
result
to
null
.
@graph
,
drop
free-floating
values
as
follows:
@value
or
@list
,
set
result
to
null
.
@id
,
set
result
to
null
.
If,
after
the
above
algorithm
is
run,
the
result
is
a
JSON
object
that
contains
only
an
@graph
key,
set
the
result
to
the
value
of
@graph
's
value.
Otherwise,
if
the
result
is
null
,
set
it
to
an
empty
array
.
Finally,
if
the
result
is
not
an
array
,
then
set
the
result
to
an
array
containing
only
the
result.
Some values in JSON-LD can be expressed in a compact form . These values are required to be expanded at times when processing JSON-LD documents. A value is said to be in expanded form after the application of this algorithm.
This section is non-normative.
If
active
property
has
a
type
mapping
in
the
active
context
set
to
@id
or
@vocab
,
a
JSON
object
with
a
single
member
@id
whose
value
is
the
result
of
using
the
IRI
Expansion
algorithm
on
value
is
returned.
Otherwise,
the
result
will
be
a
JSON
object
containing
an
@value
member
whose
value
is
the
passed
value
.
Additionally,
an
@type
member
will
be
included
if
there
is
a
type
mapping
associated
with
the
active
property
or
an
@language
member
if
value
is
a
string
and
there
is
language
mapping
associated
with
the
active
property
.
The algorithm takes three required inputs: an active context , an active property , and a value to expand.
@id
,
return
a
new
JSON
object
containing
a
single
key-value
pair
where
the
key
is
@id
and
the
value
is
the
result
of
using
the
IRI
Expansion
algorithm
,
passing
active
context
,
value
,
and
true
for
document
relative
.
@vocab
,
return
a
new
JSON
object
containing
a
single
key-value
pair
where
the
key
is
@id
and
the
value
is
the
result
of
using
the
IRI
Expansion
algorithm
,
passing
active
context
,
value
,
true
for
vocab
,
and
true
for
document
relative
.
@value
member
whose
value
is
set
to
value
.
@type
member
to
result
and
set
its
value
to
the
value
associated
with
the
type
mapping
.
@language
to
result
and
set
its
value
to
the
language
code
associated
with
the
language
mapping
;
unless
the
language
mapping
is
set
to
null
in
which
case
no
member
is
added.
@language
to
result
and
set
its
value
to
the
default
language
.
This algorithm compacts a JSON-LD document, such that the given context is applied. This must result in shortening any applicable IRIs to terms or compact IRIs , any applicable keywords to keyword aliases , and any applicable JSON-LD values expressed in expanded form to simple values such as strings or numbers .
This section is non-normative.
Starting with its root element , we can process the JSON-LD document recursively, until we have a fully compacted result . When compacting an element , we can treat each one differently according to its type, in order to break down the problem:
@index
or
@language
maps.
The
final
output
is
a
JSON
object
with
a
an
@context
key,
if
a
non-empty
context
was
given,
where
the
JSON
object
is
either
result
or
a
wrapper
for
it
where
result
appears
as
the
value
of
an
(aliased)
@graph
key
because
result
contained
two
or
more
items
in
an
array
.
The
algorithm
takes
five
required
input
variables:
an
active
context
,
an
inverse
context
,
an
active
property
,
an
element
to
be
compacted,
and
a
flag
compactArrays
.
To
begin,
the
active
context
is
set
to
the
result
of
performing
Context
Processing
on
the
passed
context
,
the
inverse
context
is
set
to
the
result
of
performing
the
Inverse
Context
Creation
algorithm
on
active
context
,
the
active
property
is
set
to
null
,
element
is
set
to
the
result
of
performing
the
Expansion
algorithm
on
the
JSON-LD
input
,
and,
if
not
passed,
compactArrays
is
set
to
true
.
1
),
active
property
has
no
container
mapping
in
active
context
,
and
compactArrays
is
true
,
set
result
to
its
only
item.
@value
or
@id
member
and
the
result
of
using
the
Value
Compaction
algorithm
,
passing
active
context
,
inverse
context
,
active
property
,and
element
as
value
is
a
scalar
,
return
that
result.
@reverse
,
otherwise
to
false
.
@id
or
@type
:
@type
,
false
otherwise.
@type
array
:
1
),
then
set
compacted
value
to
its
only
item.
@reverse
:
@reverse
for
active
property
,
and
expanded
value
for
element
.
@set
or
compactArrays
is
false
,
and
value
is
not
an
array
,
set
value
to
a
new
array
containing
only
value
.
@reverse
for
iri
,
and
true
for
vocab
.
@index
and
active
property
has
a
container
mapping
in
active
context
that
is
@index
,
then
the
compacted
result
will
be
inside
of
an
@index
container,
drop
the
@index
property
by
continuing
to
the
next
expanded
property
.
@index
,
@value
,
or
@language
:
@list
,
otherwise
pass
the
key's
associated
value
for
element
.
@list
:
@list
for
iri
,
and
compacted
item
for
value
.
@index
,
then
add
a
key-value
pair
to
compacted
item
where
the
key
is
the
result
of
the
IRI
Compaction
algorithm
,
passing
active
context
,
inverse
context
,
@index
as
iri
,
and
the
value
associated
with
the
@index
key
in
expanded
item
as
value
.
compaction
to
list
of
lists
error
has
been
detected
and
processing
is
aborted.
@language
or
@index
:
@language
and
compacted
item
contains
the
key
@value
,
then
set
compacted
item
to
the
value
associated
with
its
@value
key.
compactArrays
is
false
,
container
is
@set
or
@list
,
or
expanded
property
is
@list
or
@graph
and
compacted
item
is
not
an
array
,
set
it
to
a
new
array
containing
only
compacted
item
.
If,
after
the
algorithm
outlined
above
is
run,
the
result
result
is
an
array
,
replace
it
with
a
new
JSON
object
with
a
single
member
whose
key
is
the
result
of
using
the
IRI
Compaction
algorithm
,
passing
active
context
,
inverse
context
,
and
@graph
as
iri
and
whose
value
is
the
array
result
.
Finally,
if
a
non-empty
context
has
been
passed,
add
an
@context
member
to
result
and
set
its
value
to
the
passed
context
.
When there is more than one term that could be chosen to compact an IRI , it has to be ensured that the term selection is both deterministic and represents the most context-appropriate choice whilst taking into consideration algorithmic complexity.
In order to make term selections, the concept of an inverse context is introduced. An inverse context is essentially a reverse lookup table that maps container mappings , type mappings , and language mappings to a simple term for a given active context . A inverse context only needs to be generated for an active context if it is being used for compaction .
To make use of an inverse context , a list of preferred container mappings and the type mapping or language mapping are gathered for a particular value associated with an IRI . These parameters are then fed to the Term Selection algorithm , which will find the term that most appropriately matches the value's mappings.
This section is non-normative.
To
create
an
inverse
context
for
a
given
active
context
,
each
term
in
the
active
context
is
visited,
ordered
by
length,
shortest
first
(ties
are
broken
by
choosing
the
lexicographically
least
term
).
For
each
term
,
an
entry
is
added
to
the
inverse
context
for
each
possible
combination
of
container
mapping
and
type
mapping
or
language
mapping
that
would
legally
match
the
term
.
Illegal
matches
include
differences
between
a
value's
type
mapping
or
language
mapping
and
that
of
the
term
.
If
a
term
has
no
container
mapping
,
type
mapping
,
or
language
mapping
(or
some
combination
of
these),
then
it
will
have
an
entry
in
the
inverse
context
using
the
special
key
@none
.
This
allows
the
Term
Selection
algorithm
to
fall
back
to
choosing
more
generic
terms
when
a
more
specifically-matching
term
is
not
available
for
a
particular
IRI
and
value
combination.
The algorithm takes one required input: the active context that the inverse context is being created for.
@none
.
If
the
active
context
has
a
default
language
,
set
default
language
to
it.
@none
.
If
there
is
a
container
mapping
in
term
definition
,
set
container
to
its
associated
value.
@language
and
its
value
is
a
new
empty
JSON
object
,
the
second
member
is
@type
and
its
value
is
a
new
empty
JSON
object
.
@type
member
in
type/language
map
using
the
variable
type
map
.
@reverse
member,
create
one
and
set
its
value
to
the
term
being
processed.
@type
member
in
type/language
map
using
the
variable
type
map
.
@language
member
in
type/language
map
using
the
variable
language
map
.
@null
;
otherwise
set
it
to
the
language
code
in
language
mapping
.
@language
member
in
type/language
map
using
the
variable
language
map
.
@none
member,
create
one
and
set
its
value
to
the
term
being
processed.
@type
member
in
type/language
map
using
the
variable
type
map
.
@none
member,
create
one
and
set
its
value
to
the
term
being
processed.
This algorithm compacts an IRI to a term or compact IRI , or a keyword to a keyword alias . A value that is associated with the IRI may be passed in order to assist in selecting the most context-appropriate term .
This section is non-normative.
If the passed IRI is null , we simply return null . Otherwise, we first try to find a term that the IRI or keyword can be compacted to if it is relative to active context's vocabulary mapping . In order to select the most appropriate term , we may have to collect information about the passed value . This information includes which container mappings would be preferred for expressing the value , and what its type mapping or language mapping is. For JSON-LD lists , the type mapping or language mapping will be chosen based on the most specific values that work for all items in the list. Once this information is gathered, it is passed to the Term Selection algorithm , which will return the most appropriate term to use.
If no term was found that could be used to compact the IRI , an attempt is made to compact the IRI using the active context's vocabulary mapping , if there is one. If the IRI could not be compacted, an attempt is made to find a compact IRI . If there is no appropriate compact IRI , the IRI is transformed to a relative IRI using the document's base IRI . Finally, if the IRI or keyword still could not be compacted, it is returned as is.
This
algorithm
takes
three
required
inputs
and
three
optional
inputs.
The
required
inputs
are
an
active
context
,
an
inverse
context
,
and
the
iri
to
be
compacted.
The
optional
inputs
are
a
value
associated
with
the
iri
,
a
vocab
flag
which
specifies
whether
the
passed
iri
should
be
compacted
using
the
active
context's
vocabulary
mapping
,
and
a
reverse
flag
which
specifies
whether
a
reverse
property
is
being
compacted.
If
not
passed,
value
is
set
to
null
and
vocab
and
reverse
are
both
set
to
false
.
@none
.
@language
,
and
type/language
value
to
@null
.
These
two
variables
will
keep
track
of
the
preferred
type
mapping
or
language
mapping
for
a
term
,
based
on
what
is
compatible
with
value
.
@index
,
then
append
the
value
@index
to
containers
.
@type
,
type/language
value
to
@reverse
,
and
append
@set
to
containers
.
@index
is
a
not
key
in
value
,
then
append
@list
to
containers
.
@list
in
value
.
@none
and
item
type
to
@none
.
@value
:
@language
,
then
set
item
language
to
its
associated
value.
@type
,
set
item
type
to
its
associated
value.
@null
.
@id
.
@value
,
then
set
common
language
to
@none
because
list
items
have
conflicting
languages.
@none
because
list
items
have
conflicting
types.
@none
and
common
type
is
@none
,
then
stop
processing
items
in
the
list
because
it
has
been
detected
that
there
is
no
common
language
or
type
amongst
the
items.
@none
.
@none
.
@none
then
set
type/language
to
@type
and
type/language
value
to
common
type
.
@language
and
does
not
contain
the
key
@index
,
then
set
type/language
value
to
its
associated
value
and
append
@language
to
containers
.
@type
,
then
set
type/language
value
to
its
associated
value
and
set
type/language
to
@type
.
@type
and
set
type/language
value
to
@id
.
@set
to
containers
.
@none
to
containers
.
This
represents
the
non-existence
of
a
container
mapping
,
and
it
will
be
the
last
container
mapping
value
to
be
checked
as
it
is
the
most
generic.
@null
.
This
is
the
key
under
which
null
values
are
stored
in
the
inverse
context
entry
.
@reverse
,
append
@reverse
to
preferred
values
.
@id
or
@reverse
and
value
has
an
@id
member:
@id
key
in
value
for
iri
,
true
for
vocab
,
and
true
for
document
relative
has
a
term
definition
in
the
active
context
with
an
IRI
mapping
that
equals
the
value
associated
with
the
@id
key
in
value
,
then
append
@vocab
,
@id
,
and
@none
,
in
that
order,
to
preferred
values
.
@id
,
@vocab
,
and
@none
,
in
that
order,
to
preferred
values
.
@none
,
in
that
order,
to
preferred
values
.
:
),
then
continue
to
the
next
term
because
terms
with
colons
can't
be
used
as
prefixes
.
:
),
and
the
substring
of
iri
that
follows
after
the
value
of
the
term
definition's
IRI
mapping
.
This algorithm, invoked via the IRI Compaction algorithm , makes use of an active context's inverse context to find the term that is best used to compact an IRI . Other information about a value associated with the IRI is given, including which container mappings and which type mapping or language mapping would be best used to express the value.
This section is non-normative.
The inverse context's entry for the IRI will be first searched according to the preferred container mappings , in the order that they are given. Amongst terms with a matching container mapping , preference will be given to those with a matching type mapping or language mapping , over those without a type mapping or language mapping . If there is no term with a matching container mapping then the term without a container mapping that matches the given type mapping or language mapping is selected. If there is still no selected term , then a term with no type mapping or language mapping will be selected if available. No term will be selected that has a conflicting type mapping or language mapping . Ties between terms that have the same mappings are resolved by first choosing the shortest terms, and then by choosing the lexicographically least term. Note that these ties are resolved automatically because they were previously resolved when the Inverse Context Creation algorithm was used to create the inverse context .
This algorithm has five required inputs. They are: an inverse context , a keyword or IRI iri , an array containers that represents an ordered list of preferred container mappings , a string type/language that indicates whether to look for a term with a matching type mapping or language mapping , and an array representing an ordered list of preferred values for the type mapping or language mapping to look for.
Expansion transforms all values into expanded form in JSON-LD. This algorithm performs the opposite operation, transforming a value into compacted form . This algorithm compacts a value according to the term definition in the given active context that is associated with the value's associated active property .
This section is non-normative.
The
value
to
compact
has
either
an
@id
or
an
@value
member.
For
the
former
case,
if
the
type
mapping
of
active
property
is
set
to
@id
or
@vocab
and
value
consists
of
only
an
@id
member
and,
if
the
container
mapping
of
active
property
is
set
to
@index
,
an
@index
member,
value
can
be
compacted
to
a
string
by
returning
the
result
of
using
the
IRI
Compaction
algorithm
to
compact
the
value
associated
with
the
@id
member.
Otherwise,
value
cannot
be
compacted
and
is
returned
as
is.
For
the
latter
case,
it
might
be
possible
to
compact
value
just
into
the
value
associated
with
the
@value
member.
This
can
be
done
if
the
active
property
has
a
matching
type
mapping
or
language
mapping
and
there
is
either
no
@index
member
or
the
container
mapping
of
active
property
is
set
to
@index
.
It
can
also
be
done
if
@value
is
the
only
member
in
value
(apart
an
@index
member
in
case
the
container
mapping
of
active
property
is
set
to
@index
)
and
either
its
associated
value
is
not
a
string
,
there
is
no
default
language
,
or
there
is
an
explicit
null
language
mapping
for
the
active
property
.
This algorithm has four required inputs: an active context , an inverse context , an active property , and a value to be compacted.
@index
member
and
the
container
mapping
associated
to
active
property
is
set
to
@index
,
decrease
number
members
by
1
.
2
,
return
value
as
it
cannot
be
compacted.
@id
member:
1
and
the
type
mapping
of
active
property
is
set
to
@id
,
return
the
result
of
using
the
IRI
compaction
algorithm
,
passing
active
context
,
inverse
context
,
and
the
value
of
the
@id
member
for
iri
.
1
and
the
type
mapping
of
active
property
is
set
to
@vocab
,
return
the
result
of
using
the
IRI
compaction
algorithm
,
passing
active
context
,
inverse
context
,
the
value
of
the
@id
member
for
iri
,
and
true
for
vocab
.
@type
member
whose
value
matches
the
type
mapping
of
active
property
,
return
the
value
associated
with
the
@value
member
of
value
.
@language
member
whose
value
matches
the
language
mapping
of
active
property
,
return
the
value
associated
with
the
@value
member
of
value
.
1
and
either
the
value
of
the
@value
member
is
not
a
string
,
or
the
active
context
has
no
default
language
,
or
the
language
mapping
of
active
property
is
set
to
null
,,
return
the
value
associated
with
the
@value
member.
This algorithm flattens an expanded JSON-LD document by collecting all properties of a node in a single JSON object and labeling all blank nodes with blank node identifiers . This resulting uniform shape of the document, may drastically simplify the code required to process JSON-LD data in certain applications.
This section is non-normative.
First, a node map is generated using the Node Map Generation algorithm which collects all properties of a node in a single JSON object . In the next step, the node map is converted to a JSON-LD document in flattened document form . Finally, if a context has been passed, the flattened document is compacted using the Compaction algorithm before being returned.
The algorithm takes two input variables, an element to flatten and an optional context used to compact the flattened document. If not passed, context is set to null .
This
algorithm
generates
new
blank
node
identifiers
and
relabels
existing
blank
node
identifiers
.
The
used
Generate
Blank
Node
Identifier
algorithm
keeps
an
identifier
map
and
a
counter
to
ensure
consistent
relabeling
and
avoid
collisions.
Thus,
before
this
algorithm
is
run,
the
identifier
map
is
reset
and
the
counter
is
initialized
to
0
.
@default
and
whose
value
is
an
empty
JSON
object
.
@default
member
of
node
map
,
which
is
a
JSON
object
representing
the
default
graph
.
@default
,
perform
the
following
steps:
@id
member
whose
value
is
set
to
graph
name
.
@graph
member
to
entry
and
set
it
to
an
empty
array
.
@graph
member
of
entry
,
unless
the
only
member
of
node
is
@id
.
@id
.
@graph
keyword
(or
its
alias)
at
the
top-level
other
than
@context
,
even
if
the
context
is
empty
or
if
there
is
only
one
element
to
put
in
the
@graph
array
.
This
ensures
that
the
returned
document
has
a
deterministic
structure.
This
algorithm
creates
a
JSON
object
node
map
holding
an
indexed
representation
of
the
graphs
and
nodes
represented
in
the
passed
expanded
document.
All
nodes
that
are
not
uniquely
identified
by
an
IRI
get
assigned
a
(new)
blank
node
identifier
.
The
resulting
node
map
will
have
a
member
for
every
graph
in
the
document
whose
value
is
another
object
with
a
member
for
every
node
represented
in
the
document.
The
default
graph
is
stored
under
the
@default
member,
all
other
graphs
are
stored
under
their
graph
name
.
This section is non-normative.
The
algorithm
recursively
runs
over
an
expanded
JSON-LD
document
to
collect
all
properties
of
a
node
in
a
single
JSON
object
.
The
algorithm
constructs
a
JSON
object
node
map
whose
keys
represent
the
graph
names
used
in
the
document
(the
default
graph
is
stored
under
the
key
@default
)
and
whose
associated
values
are
JSON
objects
which
index
the
nodes
in
the
graph
.
If
a
property's
value
is
a
node
object
,
it
is
replaced
by
a
node
object
consisting
of
only
an
@id
member.
If
a
node
object
has
no
@id
member
or
it
is
identified
by
a
blank
node
identifier
,
a
new
blank
node
identifier
is
generated.
This
relabeling
of
blank
node
identifiers
is
also
done
for
properties
and
values
of
@type
.
The
algorithm
takes
as
input
an
expanded
JSON-LD
document
element
and
a
reference
to
a
JSON
object
node
map
.
Furthermore
it
has
the
optional
parameters
active
graph
(which
defaults
to
@default
),
an
active
subject
,
active
property
,
and
a
reference
to
a
JSON
object
list
.
If
not
passed,
active
subject
,
active
property
,
and
list
are
set
to
null
.
@type
member,
perform
for
each
item
the
following
steps:
@value
member,
perform
the
following
steps:
@list
member
of
list
.
@list
member,
perform
the
following
steps:
@list
whose
value
is
initialized
to
an
empty
array
.
@list
member
for
element
,
active
graph
,
active
subject
,
active
property
,
and
result
for
list
.
@id
member,
set
id
to
its
value
and
remove
the
member
from
element
.
If
id
is
a
blank
node
identifier
,
replace
it
with
a
newly
generated
blank
node
identifier
passing
id
for
identifier
.
@id
whose
value
is
id
.
@id
whose
value
is
id
.
@list
member
of
list
.
@type
key,
append
each
item
of
its
associated
array
to
the
array
associated
with
the
@type
key
of
node
unless
it
is
already
in
that
array
.
Finally
remove
the
@type
member
from
element
.
@index
member,
set
the
@index
member
of
node
to
its
value.
If
node
has
already
an
@index
member
with
a
different
value,
a
conflicting
indexes
error
has
been
detected
and
processing
is
aborted.
Otherwise,
continue
by
removing
the
@index
member
from
element
.
@reverse
member:
@id
whose
value
is
id
.
@reverse
member
of
element
.
@reverse
member
from
element
.
@graph
member,
recursively
invoke
this
algorithm
passing
the
value
of
the
@graph
member
for
element
,
node
map
,
and
id
for
active
graph
before
removing
the
@graph
member
from
element
.
This algorithm is used to generate new blank node identifiers or to relabel an existing blank node identifier to avoid collision by the introduction of new ones.
This section is non-normative.
The
simplest
case
is
if
there
exists
already
a
blank
node
identifier
in
the
identifier
map
for
the
passed
identifier
,
in
which
case
it
is
simply
returned.
Otherwise,
a
new
blank
node
identifier
is
generated
by
concatenating
the
string
_:b
and
the
counter
.
If
the
passed
identifier
is
not
null
,
an
entry
is
created
in
the
identifier
map
associating
the
identifier
with
the
blank
node
identifier
.
Finally,
the
counter
is
increased
by
one
and
the
new
blank
node
identifier
is
returned.
The
algorithm
takes
a
single
input
variable
identifier
which
may
be
null
.
Between
its
executions,
the
algorithm
needs
to
keep
an
identifier
map
to
relabel
existing
blank
node
identifiers
consistently
and
a
counter
to
generate
new
blank
node
identifiers
.
The
counter
is
initialized
to
0
by
default.
_:b
and
counter
.
1
.
This section describes algorithms to deserialize a JSON-LD document to an RDF dataset and vice versa. The algorithms are designed for in-memory implementations with random access to JSON object elements.
Throughout this section, the following vocabulary prefixes are used in compact IRIs :
Prefix | IRI |
---|---|
rdf | http://www.w3.org/1999/02/22-rdf-syntax-ns# |
rdfs | http://www.w3.org/2000/01/rdf-schema# |
xsd | http://www.w3.org/2001/XMLSchema# |
This algorithm deserializes a JSON-LD document to an RDF dataset . Please note that RDF does not allow a blank node to be used as a property , while JSON-LD does. Therefore, by default RDF triples that would have contained blank nodes as properties are discarded when interpreting JSON-LD as RDF.
This section is non-normative.
The
JSON-LD
document
is
expanded
and
converted
to
a
node
map
using
the
Node
Map
Generation
algorithm
.
This
allows
each
graph
represented
within
the
document
to
be
extracted
and
flattened,
making
it
easier
to
process
each
node
object
.
Each
graph
from
the
node
map
is
processed
to
extract
RDF
triples
,
to
which
any
(non-default)
graph
name
is
applied
to
create
an
RDF
dataset
.
Each
node
object
in
the
node
map
has
an
@id
member
which
corresponds
to
the
RDF
subject
,
the
other
members
represent
RDF
predicates
.
Each
member
value
is
either
an
IRI
or
blank
node
identifier
or
can
be
transformed
to
an
RDF
literal
to
generate
an
RDF
triple
.
Lists
are
transformed
into
an
RDF
Collection
using
the
List
to
RDF
Conversion
algorithm.
The algorithm takes a JSON-LD document element and returns an RDF dataset . Unless the produce generalized RDF flag is set to true , RDF triples containing a blank node predicate are excluded from output.
This
algorithm
generates
new
blank
node
identifiers
and
relabels
existing
blank
node
identifiers
.
The
used
Generate
Blank
Node
Identifier
algorithm
keeps
an
identifier
map
and
a
counter
to
ensure
consistent
relabeling
and
avoid
collisions.
Thus,
before
this
algorithm
is
run,
the
identifier
map
is
reset
and
the
counter
is
initialized
to
0
.
@type
,
then
for
each
type
in
values
,
append
a
triple
composed
of
subject
,
rdf:type
,
and
type
to
triples
.
@list
key
from
item
and
list
triples
.
Append
first
a
triple
composed
of
subject
,
property
,
and
list
head
to
triples
and
finally
append
all
triples
from
list
triples
to
triples
.
@default
,
add
triples
to
the
default
graph
in
dataset
.
This algorithm takes a node object or value object and transforms it into an RDF resource to be used as the object of an RDF triple . If a node object containing a relative IRI is passed to the algorithm, null is returned which then causes the resulting RDF triple to be ignored.
This section is non-normative.
Value objects are transformed to RDF literals as described in section 10.6 Data Round Tripping whereas node objects are transformed to IRIs , blank node identifiers , or null .
The algorithm takes as its sole argument item which must be either a value object or node object .
@id
member
is
a
relative
IRI
,
return
null
.
@id
member.
@value
member
in
item
.
@type
member
of
item
or
null
if
item
does
not
have
such
a
member.
true
or
false
which
is
the
canonical
lexical
form
as
described
in
section
10.6
Data
Round
Tripping
If
datatype
is
null
,
set
it
to
xsd:boolean
.
xsd:double
,
convert
value
to
a
string
in
canonical
lexical
form
of
an
xsd:double
as
defined
in
[
XMLSCHEMA11-2
]
and
described
in
section
10.6
Data
Round
Tripping
.
If
datatype
is
null
,
set
it
to
xsd:double
.
xsd:integer
,
convert
value
to
a
string
in
canonical
lexical
form
of
an
xsd:integer
as
defined
in
[
XMLSCHEMA11-2
]
and
described
in
section
10.6
Data
Round
Tripping
.
If
datatype
is
null
,
set
it
to
xsd:integer
.
xsd:string
or
rdf:langString
,
depending
on
if
item
has
an
@language
member.
@language
member,
add
the
value
associated
with
the
@language
key
as
the
language
tag
of
literal
.
List
Conversion
is
the
process
of
taking
a
list
object
and
transforming
it
into
an
RDF
Collection
as
defined
in
RDF
Semantics
[
RDF-MT
RDF11-MT
].
This section is non-normative.
For
each
element
of
the
list
a
new
blank
node
identifier
is
allocated
which
is
used
to
generate
rdf:first
and
rdf:rest
triples
.
The
algorithm
returns
the
list
head,
which
is
either
the
first
allocated
blank
node
identifier
or
rdf:nil
if
the
list
is
empty.
If
a
list
element
represents
a
relative
IRI
,
the
corresponding
rdf:first
triple
is
omitted.
The algorithm takes two inputs: an array list and an empty array list triples used for returning the generated triples .
rdf:nil
.
rdf:first
,
and
object
.
rdf:nil
.
Append
a
triple
composed
of
subject
,
rdf:rest
,
and
rest
to
list
triples
.
rdf:nil
if
bnodes
is
empty.
This algorithm serializes an RDF dataset consisting of a default graph and zero or more named graphs into a JSON-LD document.
This section is non-normative.
Iterate
through
each
graph
in
the
dataset,
converting
each
RDF
Collection
into
a
list
and
generating
a
JSON-LD
document
in
expanded
form
for
all
RDF
literals
,
IRIs
and
blank
node
identifiers
.
If
the
use
native
types
flag
is
set
to
true
,
RDF
literals
with
a
datatype
IRI
that
equals
xsd:integer
or
xsd:double
are
converted
to
a
JSON
numbers
and
RDF
literals
with
a
datatype
IRI
that
equals
xsd:boolean
are
converted
to
true
or
false
based
on
their
lexical
form
as
described
in
section
10.6
Data
Round
Tripping
.
Unless
the
use
rdf:type
flag
is
set
to
true,
rdf:type
predicates
will
be
serialized
as
@type
as
long
as
the
associated
object
is
either
an
IRI
or
blank
node
identifier
.
The
algorithm
takes
one
required
and
two
optional
inputs:
an
RDF
dataset
and
the
two
flags
use
native
types
and
use
rdf:type
that
both
default
to
false
.
@default
whose
value
references
default
graph
.
@default
,
otherwise
to
the
graph
name
associated
with
graph
.
@id
whose
value
is
name
.
@id
whose
value
is
set
to
subject
.
@id
whose
value
is
set
to
object
.
rdf:type
,
the
use
rdf:type
flag
is
not
true
,
and
object
is
an
IRI
or
blank
node
identifier
,
append
object
to
the
value
of
the
@type
member
of
node
;
unless
such
an
item
already
exists.
If
no
such
member
exists,
create
one
and
initialize
it
to
an
array
whose
only
item
is
object
.
Finally,
continue
to
the
next
RDF
triple
.
usages
member,
create
one
and
initialize
it
to
an
empty
array
.
usages
member
of
the
object
member
of
node
map
using
the
variable
usages
.
node
,
property
,
and
value
to
the
usages
array
.
The
node
member
is
set
to
a
reference
to
node
,
property
to
predicate
,
and
value
to
a
reference
to
value
.
rdf:nil
member,
continue
with
the
next
name
-
graph
object
pair
as
the
graph
does
not
contain
any
lists
that
need
to
be
converted.
rdf:nil
member
of
graph
object
.
usages
member
of
nil
,
perform
the
following
steps:
node
member
of
usage
,
property
to
the
value
of
the
property
member
of
usage
,
and
head
to
the
value
of
the
value
member
of
usage
.
rdf:rest
,
the
value
associated
to
the
usages
member
of
node
has
exactly
1
entry,
node
has
a
rdf:first
and
rdf:rest
property,
both
of
which
have
as
value
an
array
consisting
of
a
single
element,
and
node
has
no
other
members
apart
from
an
optional
@type
member
whose
value
is
an
array
with
a
single
item
equal
to
rdf:List
,
node
represents
a
well-formed
list
node.
Perform
the
following
steps
to
traverse
the
list
backwards
towards
its
head:
rdf:first
member
of
node
to
the
list
array
.
@id
member
of
node
to
the
list
nodes
array
.
usages
member
of
node
.
node
member
of
node
usage
,
property
to
the
value
of
the
property
member
of
node
usage
,
and
head
to
the
value
of
the
value
member
of
node
usage
.
@id
member
of
node
is
an
IRI
instead
of
a
blank
node
identifier
,
exit
the
while
loop.
rdf:first
,
i.e.,
the
detected
list
is
nested
inside
another
list
@id
of
node
equals
rdf:nil
,
i.e.,
the
detected
list
is
empty,
continue
with
the
next
usage
item.
The
rdf:nil
node
cannot
be
converted
to
a
list
object
as
it
would
result
in
a
list
of
lists,
which
isn't
supported.
@id
member
of
head
.
rdf:rest
member
of
head
.
@id
member
from
head
.
@list
member
to
head
and
initialize
its
value
to
the
list
array
.
@graph
member
to
node
and
initialize
its
value
to
an
empty
array
.
@graph
member
of
node
after
removing
its
usages
member,
unless
the
only
remaining
member
of
n
is
@id
.
usages
member,
unless
the
only
remaining
member
of
node
is
@id
.
This algorithm transforms an RDF literal to a JSON-LD value object and a RDF blank node or IRI to an JSON-LD node object .
This section is non-normative.
RDF
literals
are
transformed
to
value
objects
whereas
IRIs
and
blank
node
identifiers
are
transformed
to
node
objects
.
If
the
use
native
types
flag
is
set
to
true
,
RDF
literals
with
a
datatype
IRI
that
equals
xsd:integer
or
xsd:double
are
converted
to
a
JSON
numbers
and
RDF
literals
with
a
datatype
IRI
that
equals
xsd:boolean
are
converted
to
true
or
false
based
on
their
lexical
form
as
described
in
section
10.6
Data
Round
Tripping
.
This algorithm takes two required inputs: a value to be converted to a JSON object and a flag use native types .
@id
whose
value
is
set
to
value
.
xsd:string
,
set
converted
value
to
the
lexical
form
of
value
.
xsd:boolean
,
set
converted
value
to
true
if
the
lexical
form
of
value
matches
true
,
or
false
if
it
matches
false
.
If
it
matches
neither,
set
type
to
xsd:boolean
.
xsd:integer
or
xsd:double
and
its
lexical
form
is
a
valid
xsd:integer
or
xsd:double
according
[
XMLSCHEMA11-2
],
set
converted
value
to
the
result
of
converting
the
lexical
form
to
a
JSON
number
.
@language
to
result
and
set
its
value
to
the
language
tag
of
value
.
xsd:string
which
is
ignored.
@value
to
result
whose
value
is
set
to
converted
value
.
@type
to
result
whose
value
is
set
to
type
.
When
deserializing
JSON-LD
to
RDF
JSON-native
numbers
are
automatically
type-coerced
to
xsd:integer
or
xsd:double
depending
on
whether
the
number
has
a
non-zero
fractional
part
or
not
(the
result
of
a
modulo‑1
operation),
the
boolean
values
true
and
false
are
coerced
to
xsd:boolean
,
and
strings
are
coerced
to
xsd:string
.
The
numeric
or
boolean
values
themselves
are
converted
to
canonical
lexical
form
,
i.e.,
a
deterministic
string
representation
as
defined
in
[
XMLSCHEMA11-2
].
The
canonical
lexical
form
of
an
integer
,
i.e.,
a
number
with
no
non-zero
fractional
part
or
a
number
coerced
to
xsd:integer
,
is
a
finite-length
sequence
of
decimal
digits
(
0-9
)
with
an
optional
leading
minus
sign;
leading
zeros
are
prohibited.
In
JavaScript,
implementers
can
use
the
following
snippet
of
code
to
convert
an
integer
to
canonical
lexical
form
:
(value).toFixed(0).toString()
The
canonical
lexical
form
of
a
double
,
i.e.,
a
number
with
a
non-zero
fractional
part
or
a
number
coerced
to
xsd:double
,
consists
of
a
mantissa
followed
by
the
character
E
,
followed
by
an
exponent.
The
mantissa
is
a
decimal
number
and
the
exponent
is
an
integer.
Leading
zeros
and
a
preceding
plus
sign
(
+
)
are
prohibited
in
the
exponent.
If
the
exponent
is
zero,
it
is
indicated
by
E0
.
For
the
mantissa,
the
preceding
optional
plus
sign
is
prohibited
and
the
decimal
point
is
required.
Leading
and
trailing
zeros
are
prohibited
subject
to
the
following:
number
representations
must
be
normalized
such
that
there
is
a
single
digit
which
is
non-zero
to
the
left
of
the
decimal
point
and
at
least
a
single
digit
to
the
right
of
the
decimal
point
unless
the
value
being
represented
is
zero.
The
canonical
representation
for
zero
is
0.0E0
.
xsd:double
's
value
space
is
defined
by
the
IEEE
double-precision
64-bit
floating
point
type
[
IEEE-754-1985
IEEE-754-2008
]
whereas
the
value
space
of
JSON
numbers
is
not
specified;
when
deserializing
JSON-LD
to
RDF
the
mantissa
is
rounded
to
15 digits
15 digits
after
the
decimal
point.
In
JavaScript,
implementers
can
use
the
following
snippet
of
code
to
convert
a
double
to
canonical
lexical
form
:
(value).toExponential(15).replace(/(\d)0*e\+?/,'$1E')
The
canonical
lexical
form
of
the
boolean
values
true
and
false
are
the
strings
true
and
false
.
When
JSON-native
numbers
are
deserialized
to
RDF,
lossless
data
round-tripping
cannot
be
guaranteed,
as
rounding
errors
might
occur.
When
serializing
RDF
as
JSON-LD
,
similar
rounding
errors
might
occur.
Furthermore,
the
datatype
or
the
lexical
representation
might
be
lost.
An
xsd:double
with
a
value
of
2.0
will,
e.g.,
result
in
an
xsd:integer
with
a
value
of
2
in
canonical
lexical
form
when
converted
from
RDF
to
JSON-LD
and
back
to
RDF.
It
is
important
to
highlight
that
in
practice
it
might
be
impossible
to
losslessly
convert
an
xsd:integer
to
a
number
because
its
value
space
is
not
limited.
While
the
JSON
specification
[
RFC4627
]
does
not
limit
the
value
space
of
numbers
either,
concrete
implementations
typically
do
have
a
limited
value
space.
To
ensure
lossless
round-tripping
the
Serialize
RDF
as
JSON-LD
algorithm
specifies
a
use
native
types
flag
which
controls
whether
RDF
literals
with
a
datatype
IRI
equal
to
xsd:integer
,
xsd:double
,
or
xsd:boolean
are
converted
to
their
JSON-native
counterparts.
If
the
use
native
types
flag
is
set
to
false
,
all
literals
remain
in
their
original
string
representation.
Some
JSON
serializers,
such
as
PHP's
native
implementation
in
some
versions,
backslash-escape
the
forward
slash
character.
For
example,
the
value
http://example.com/
would
be
serialized
as
http:\/\/example.com\/
.
This
is
problematic
as
other
JSON
parsers
might
not
understand
those
escaping
characters.
There
is
no
need
to
backslash-escape
forward
slashes
in
JSON-LD.
To
aid
interoperability
between
JSON-LD
processors,
forward
slashes
MUST
NOT
be
backslash-escaped.
This section is non-normative.
This API provides a clean mechanism that enables developers to convert JSON-LD data into a variety of output formats that are often easier to work with.
The
JSON-LD
API
uses
Promises
to
represent
the
result
of
the
various
asynchronous
operations.
Promises
are
temporarily
being
drafted
on
GitHub
[
PROMISES
]
but
are
expected
to
be
standardized
as
part
of
ECMAScript 6.
ECMAScript 6.
JsonLdProcessor
Interface
This section is non-normative.
The
JsonLdProcessor
interface
is
the
high-level
programming
structure
that
developers
use
to
access
the
JSON-LD
transformation
methods.
It
is
important
to
highlight
that
implementations
do
not
modify
the
input
parameters.
If
an
error
is
detected,
the
Promise
is
rejected
passing
a
JsonLdError
with
the
corresponding
error
code
and
processing
is
stopped.
If
the
documentLoader
option
is
specified,
it
is
used
to
dereference
remote
documents
and
contexts.
The
documentUrl
in
the
returned
RemoteDocument
is
used
as
base
IRI
and
the
contextUrl
is
used
instead
of
looking
at
the
HTTP
Link
Header
directly.
For
the
sake
of
simplicity,
none
of
the
algorithms
in
this
document
mention
this
directly.
[Constructor]
interface JsonLdProcessor {
};
Promise compact (any input, JsonLdContext
context, optional JsonLdOptions
options);
Promise expand (any input, optional JsonLdOptions
options);
Promise flatten (any input, optional JsonLdContext
? context, optional JsonLdOptions
options);
};
This section is non-normative.
compact
Compacts the given input using the context according to the steps in the Compaction algorithm :
application/json
,
nor
application/ld+json
,
nor
any
other
media
type
using
a
+json
suffix
as
defined
in
[
RFC6839
]
or
if
the
document
cannot
be
parsed
as
JSON,
reject
the
promise
passing
an
loading
document
failed
error.
base
option
overrides
the
base
IRI
.
expandContext
has
been
passed,
update
the
active
context
using
the
Context
Processing
algorithm
,
passing
the
expandContext
as
local
context
.
If
expandContext
is
a
JSON
object
having
@context
member,
pass
that
member's
value
instead.
http://www.w3.org/ns/json-ld#context
link
relation
and
a
content
type
of
application/json
or
any
media
type
with
a
+json
suffix
as
defined
in
[
RFC6839
]
except
application/ld+json
,
update
the
active
context
using
the
Context
Processing
algorithm
,
passing
the
context
referenced
in
the
HTTP
Link
Header
as
local
context
.
The
HTTP
Link
Header
is
ignored
for
documents
served
as
application/ld+json
If
multiple
HTTP
Link
Headers
using
the
http://www.w3.org/ns/json-ld#context
link
relation
are
found,
the
promise
is
rejected
with
a
JsonLdError
whose
code
is
set
to
multiple
context
link
headers
and
processing
is
terminated.
@context
member,
set
context
to
that
member's
value.
compactArrays
flag
in
options
.
Parameter | Type | Nullable | Optional | Description |
---|---|---|---|---|
input |
any
|
✘ | ✘ | The JSON-LD object or array of JSON-LD objects to perform the compaction upon or an IRI referencing the JSON-LD document to compact. |
context |
|
✘ | ✘ |
The
context
to
use
when
compacting
the
input
;
it
can
be
specified
by
using
a
JSON
object
,
an
IRI
,
or
an
array
consisting
of
JSON
object
s
and
IRI
s.
|
options |
|
✘ | ✔ | A set of options to configure the algorithms. This allows, e.g., to set the input document's base IRI . |
Promise
expand
Expands the given input according to the steps in the Expansion algorithm :
application/json
,
nor
application/ld+json
,
nor
any
other
media
type
using
a
+json
suffix
as
defined
in
[
RFC6839
],
reject
the
promise
passing
an
loading
document
failed
error.
base
option
overrides
the
base
IRI
.
expandContext
has
been
passed,
update
the
active
context
using
the
Context
Processing
algorithm
,
passing
the
expandContext
as
local
context
.
If
expandContext
is
a
JSON
object
having
@context
member,
pass
that
member's
value
instead.
http://www.w3.org/ns/json-ld#context
link
relation
and
a
content
type
of
application/json
or
any
media
type
with
a
+json
suffix
as
defined
in
[
RFC6839
]
except
application/ld+json
,
update
the
active
context
using
the
Context
Processing
algorithm
,
passing
the
context
referenced
in
the
HTTP
Link
Header
as
local
context
.
The
HTTP
Link
Header
is
ignored
for
documents
served
as
application/ld+json
If
multiple
HTTP
Link
Headers
using
the
http://www.w3.org/ns/json-ld#context
link
relation
are
found,
the
promise
is
rejected
with
a
JsonLdError
whose
code
is
set
to
multiple
context
link
headers
and
processing
is
terminated.
Parameter | Type | Nullable | Optional | Description |
---|---|---|---|---|
input |
any
|
✘ | ✘ | The JSON-LD object or array of JSON-LD objects to perform the expansion upon or an IRI referencing the JSON-LD document to expand. |
options |
|
✘ | ✔ | A set of options to configure the used algorithms such. This allows, e.g., to set the input document's base IRI . |
Promise
flatten
Flattens the given input and compacts it using the passed context according to the steps in the Flattening algorithm :
application/json
,
nor
application/ld+json
,
nor
any
other
media
type
using
a
+json
suffix
as
defined
in
[
RFC6839
],
reject
the
promise
passing
an
loading
document
failed
error.
base
option
overrides
the
base
IRI
.
expandContext
has
been
passed,
update
the
active
context
using
the
Context
Processing
algorithm
,
passing
the
expandContext
as
local
context
.
If
expandContext
is
a
JSON
object
having
@context
member,
pass
that
member's
value
instead.
http://www.w3.org/ns/json-ld#context
link
relation
and
a
content
type
of
application/json
or
any
media
type
with
a
+json
suffix
as
defined
in
[
RFC6839
]
except
application/ld+json
,
update
the
active
context
using
the
Context
Processing
algorithm
,
passing
the
context
referenced
in
the
HTTP
Link
Header
as
local
context
.
The
HTTP
Link
Header
is
ignored
for
documents
served
as
application/ld+json
If
multiple
HTTP
Link
Headers
using
the
http://www.w3.org/ns/json-ld#context
link
relation
are
found,
the
promise
is
rejected
with
a
JsonLdError
whose
code
is
set
to
multiple
context
link
headers
and
processing
is
terminated.
@context
member,
set
context
to
that
member's
value.
0
)
to
be
used
by
the
Generate
Blank
Node
Identifier
algorithm
.
compactArrays
flag
in
options
(which
is
internally
passed
to
the
Compaction
algorithm
).
Parameter | Type | Nullable | Optional | Description |
---|---|---|---|---|
input |
any
|
✘ | ✘ | The JSON-LD object or array of JSON-LD objects or an IRI referencing the JSON-LD document to flatten. |
context |
|
✔ | ✔ |
The
context
to
use
when
compacting
the
flattened
input
;
it
can
be
specified
by
using
a
JSON
object
,
an
IRI
,
or
an
array
consisting
of
JSON
object
s
and
IRI
s.
If
not
passed
or
null
is
passed,
the
result
will
not
be
compacted
but
kept
in
expanded
form.
|
options |
|
✘ | ✔ | A set of options to configure the used algorithms such. This allows, e.g., to set the input document's base IRI . |
Promise
typedef ( object or DOMString or (object or DOMString[]) ) JsonLdContext ;typedef (object or DOMString or (object or DOMString[])) JsonLdContext;
The
JsonLdContext
type
is
used
to
refer
to
a
value
that
that
may
be
a
JSON
object
,
a
string
representing
an
IRI
,
or
an
array
of
JSON
objects
and
strings
.
JsonLdOptions
Type
This section is non-normative.
The
JsonLdOptions
type
is
used
to
pass
various
options
to
the
JsonLdProcessor
methods.
dictionary JsonLdOptions {
DOMString? base;
boolean compactArrays = true;
LoadDocumentCallback
documentLoader = null;
(object? or DOMString) expandContext = null;
DOMString processingMode = "json-ld-1.0";
};
};
JsonLdOptions
Members
This section is non-normative.
base
of
type
DOMString
,
nullable
compactArrays
of
type
boolean
,
defaulting
to
true
true
,
the
JSON-LD
processor
replaces
arrays
with
just
one
element
with
that
element
during
compaction.
If
set
to
false
,
all
arrays
will
remain
arrays
even
if
they
have
just
one
element.
documentLoader
of
type
LoadDocumentCallback
,
defaulting
to
null
expandContext
of
type
(object?
or
DOMString)
,
defaulting
to
null
processingMode
of
type
DOMString
,
defaulting
to
"json-ld-1.0"
json-ld-1.0
,
the
implementation
has
to
produce
exactly
the
same
results
as
the
algorithms
defined
in
this
specification.
If
set
to
another
value,
the
JSON-LD
processor
is
allowed
to
extend
or
modify
the
algorithms
defined
in
this
specification
to
enable
application-specific
optimizations.
The
definition
of
such
optimizations
is
beyond
the
scope
of
this
specification
and
thus
not
defined.
Consequently,
different
implementations
may
implement
different
optimizations.
Developers
must
not
define
modes
beginning
with
json-ld
as
they
are
reserved
for
future
versions
of
this
specification.
This section is non-normative.
Users of an API implementation can utilize a callback to control how remote documents and contexts are retrieved. This section details the parameters of that callback and the data structure used to return the retrieved context.
This section is non-normative.
The
LoadDocumentCallback
defines
a
callback
that
custom
document
loaders
have
to
implement
to
be
used
to
retrieve
remote
documents
and
contexts.
callback LoadDocumentCallback = Promise ( DOMString url );callback LoadDocumentCallback = Promise (DOMString url);
LoadDocumentCallback
Parameters
This section is non-normative.
url
of
type
DOMString
All
errors
result
in
the
Promise
being
rejected
with
a
JsonLdError
whose
code
is
set
to
loading
document
failed
or
multiple
context
link
headers
as
described
in
the
next
section.
This section is non-normative.
The
RemoteDocument
type
is
used
by
a
LoadDocumentCallback
to
return
information
about
a
remote
document
or
context.
dictionary RemoteDocument {
DOMString contextUrl = null;
DOMString documentUrl;
any document;
};
};
RemoteDocument
Members
This section is non-normative.
contextUrl
of
type
DOMString
,
defaulting
to
null
http://www.w3.org/ns/json-ld#context
link
relation
in
the
response.
If
the
response's
content
type
is
application/ld+json
,
the
HTTP
Link
Header
is
ignored.
If
multiple
HTTP
Link
Headers
using
the
http://www.w3.org/ns/json-ld#context
link
relation
are
found,
the
Promise
of
the
LoadDocumentCallback
is
rejected
with
a
JsonLdError
whose
code
is
set
to
multiple
context
link
headers
.
document
of
type
any
documentUrl
of
type
DOMString
This section is non-normative.
This section describes the datatype definitions used within the JSON-LD API for error handling.
This section is non-normative.
The
JsonLdError
type
is
used
to
report
processing
errors.
dictionary JsonLdError {
JsonLdErrorCode
code;
DOMString? message = null;
};
};
JsonLdError
Members
This section is non-normative.
code
of
type
JsonLdErrorCode
message
of
type
DOMString
,
nullable,
defaulting
to
null
This section is non-normative.
The
JsonLdErrorCode
represents
the
collection
of
valid
JSON-LD
error
codes.
enum JsonLdErrorCode {
"loading document failed",
"list of lists",
"invalid @index value",
"conflicting indexes",
"invalid @id value",
"invalid local context",
"multiple context link headers",
"loading remote context failed",
"invalid remote context",
"recursive context inclusion",
"invalid base IRI",
"invalid vocab mapping",
"invalid default language",
"keyword redefinition",
"invalid term definition",
"invalid reverse property",
"invalid IRI mapping",
"cyclic IRI mapping",
"invalid keyword alias",
"invalid type mapping",
"invalid language mapping",
"colliding keywords",
"invalid container mapping",
"invalid type value",
"invalid value object",
"invalid value object value",
"invalid language-tagged string",
"invalid language-tagged value",
"invalid typed value",
"invalid set or list object",
"invalid language map value",
"compaction to list of lists",
"invalid reverse property map",
"invalid @reverse value",
"invalid reverse property value"
};
};
Enumeration description | |
---|---|
loading
document
failed
|
The document could not be loaded or parsed as JSON. |
list
of
lists
|
A list of lists was detected. List of lists are not supported in this version of JSON-LD due to the algorithmic complexity. |
invalid
@index
value
|
An
@index
member
was
encountered
whose
value
was
not
a
string
.
|
conflicting
indexes
|
Multiple conflicting indexes have been found for the same node. |
invalid
@id
value
|
An
@id
member
was
encountered
whose
value
was
not
a
string
.
|
invalid
local
context
|
In invalid local context was detected. |
multiple
context
link
headers
|
Multiple
HTTP
Link
Headers
[
RFC5988
]
using
the
http://www.w3.org/ns/json-ld#context
link
relation
have
been
detected.
|
loading
remote
context
failed
|
There was a problem encountered loading a remote context. |
invalid
remote
context
|
No valid context document has been found for a referenced, remote context. |
recursive
context
inclusion
|
A cycle in remote context inclusions has been detected. |
invalid
base
IRI
|
An invalid base IRI has been detected, i.e., it is neither an absolute IRI nor null . |
invalid
vocab
mapping
|
An invalid vocabulary mapping has been detected, i.e., it is neither an absolute IRI nor null . |
invalid
default
language
|
The value of the default language is not a string or null and thus invalid. |
keyword
redefinition
|
A keyword redefinition has been detected. |
invalid
term
definition
|
An invalid term definition has been detected. |
invalid
reverse
property
|
An invalid reverse property definition has been detected. |
invalid
IRI
mapping
|
A local context contains a term that has an invalid or missing IRI mapping . |
cyclic
IRI
mapping
|
A cycle in IRI mappings has been detected. |
invalid
keyword
alias
|
An invalid keyword alias definition has been encountered. |
invalid
type
mapping
|
An
@type
member
in
a
term
definition
was
encountered
whose
value
could
not
be
expanded
to
an
absolute
IRI
.
|
invalid
language
mapping
|
An
@language
member
in
a
term
definition
was
encountered
whose
value
was
neither
a
string
nor
null
and
thus
invalid.
|
colliding
keywords
|
Two properties which expand to the same keyword have been detected. This might occur if a keyword and an alias thereof are used at the same time. |
invalid
container
mapping
|
An
@container
member
was
encountered
whose
value
was
not
one
of
the
following
strings
:
@list
,
@set
,
or
@index
.
|
invalid
type
value
|
An
invalid
value
for
an
@type
member
has
been
detected,
i.e.,
the
value
was
neither
a
string
nor
an
array
of
strings
.
|
invalid
value
object
|
A value object with disallowed members has been detected. |
invalid
value
object
value
|
An
invalid
value
for
the
@value
member
of
a
value
object
has
been
detected,
i.e.,
it
is
neither
a
scalar
nor
null
.
|
invalid
language-tagged
string
|
A language-tagged string with an invalid language value was detected. |
invalid
language-tagged
value
|
A number , true , or false with an associated language tag was detected. |
invalid
typed
value
|
A typed value with an invalid type was detected. |
invalid
set
or
list
object
|
A set object or list object with disallowed members has been detected. |
invalid
language
map
value
|
An invalid value in a language map has been detected. It has to be a string or an array of strings . |
compaction
to
list
of
lists
|
The compacted document contains a list of lists as multiple lists have been compacted to the same term. |
invalid
reverse
property
map
|
An
invalid
reverse
property
map
has
been
detected.
No
keywords
apart
from
@context
are
allowed
in
reverse
property
maps.
|
invalid
@reverse
value
|
An
invalid
value
for
an
@reverse
member
has
been
detected,
i.e.,
the
value
was
not
a
JSON
object
.
|
invalid
reverse
property
value
|
An invalid value for a reverse property has been detected. The value of an inverse property must be a node object . |
This section is non-normative.
A large amount of thanks goes out to the JSON-LD Community Group participants who worked through many of the technical issues on the mailing list and the weekly telecons - of special mention are Niklas Lindström, François Daoust, Lin Clark, and Zdenko 'Denny' Vrandečić. The editors would like to thank Mark Birbeck, who provided a great deal of the initial push behind the JSON-LD work via his work on RDFj. The work of Dave Lehn and Mike Johnson are appreciated for reviewing, and performing several implementations of the specification. Ian Davis is thanked for his work on RDF/JSON. Thanks also to Nathan Rixham, Bradley P. Allen, Kingsley Idehen, Glenn McDonald, Alexandre Passant, Danny Ayers, Ted Thibodeau Jr., Olivier Grisel, Josh Mandel, Eric Prud'hommeaux, David Wood, Guus Schreiber, Pat Hayes, Sandro Hawke, and Richard Cyganiak for their input on the specification.