Possible DAML Use Cases

• CIA World Fact Book
• Resumes
• Wall Street Journal
• Center for Army Lessons Learned
• InterNet Worth
• W3C Authorization
• Mozilla Open Directory
• Web-in-a-Box
• SEC EDGAR

CIA World Fact Book

Demonstrates

• Temporal data (many values are tagged by year).
• Uncertainty (some values are tagged by "est.").
• The ability to add semantic structure to a widely referenced data source. The basic data structure is fairly simple, but we may be able to add value by extending the ontology to allow reasoning based on geographic region, industry categories, etc.

Resources Available

• The 1998 CD-ROM (most recent available from GPO) includes the source document in SGML (library/books/fb98/fb98.sgm). Countries begin with <geodesc> tags. Facts are recorded as <field> <data> pairs.
• An HTML representation of the World Fact Book is available at http://www.cia.gov/cia/publications/factbook/.
• PARKA triples encoding facts (in several ways) are available at http://www.cs.umd.edu/projects/plus/Parka/parka-kbs.html.
• Deb McGuiness has a World Fact Book ontology in Ontolingua.

Sample Queries


Notes

• The CIA World Fact Book itself is in the public domain. No Intellectual Property issues.

Resumes

Demonstrates

• Temporal ranges for employee-of relations. Using DAML for historical records.
• Synonymy, as company names change over time.

Resources Available


Sample Queries

• What existing employees may have worked with an interview candidate in the past? (based on matching company/dates and optionally city)
• What employees have worked with both knowledge representation and Java?

Notes

Wall Street Journal

Demonstrates

• The ability to mix and relate structured and unstructured content. Ideally, the DAML facts would contain references to the underlying text from the article.
• Reification (DAML assertions are "as reported by the Wall Street Journal").
• Temporal data (articles are dated).

Resources Available

• Various corpora (including the Wall Street Journal) are available from the Linguistic Data Consortium at http://www.ldc.upenn.edu/.

Sample Queries

• Notify me with normal priority whenever a story appears about my company is mentioned. Notify me with high priority whenever such a story portrays my company in a bad light.
• Notify me whenever one of my competitors is mentioned (e.g. based on Standard Industrial Classification code).

Notes

• We could potentially use another newspaper source, but the narrower domain focus and recognition of the WSJ are attractive.
• This was demonstrated by BBN, using New York Times articles from the MUC-7 conference, at the DAML Kickoff Meeting in August 2000.

Center for Army Lessons Learned

Demonstrates


Resources Available

• Some information is publically available at http://call.army.mil.

Sample Queries


Notes

• CALL officials have already expressed interest in DAML, and attended the DAML Kickoff meeting.

InterNet Worth

Demonstrates

• Increased development efficiency (reduction in source lines of code required to build agents) afforded by DAML.
• Security and privacy issues.
• Encoding efficiency afforded by DAML. Agents don't read ads!

Resources Available

• Most major financial institutions now make account information available via the Internet (in ad hoc, proprietary formats).

Sample Queries

• What's my instantaneous net worth?

Notes

W3C Authorization

Demonstrates

• Logical inference
• Security

Resources Available


Sample Queries


Notes

Mozilla Open Directory

Demonstrates

• The ability to handle a very large, though simple, ontology.

Resources Available

• The Open Directory structure and contents are available in RDF form from http://dmoz.org/rdf.html.

Sample Queries


Notes

Web-in-a-Box

Demonstrates


Resources Available

• Mike Sullivan and other BBN staff involved in a Web-in-a-Box jumpstart effort are currently surveying operational sites to identify high priority unclassified WWW sources.

Sample Queries


Notes

• The Web-in-a-Box BAA00-41 was just cancelled.

SEC EDGAR

Demonstrates

• Digital signing of DAML assertions (the EDGAR submissions are already signed, although these signatures wouldn't match for transformed data).
• ontology translation. An EDGAR ontology is likely to be similar to, but perhaps different from, a Wall Street Journal ontology. This could present an opportunity for ontology translation (and/or sharing) in a restricted yet compelling domain.

Resources Available

• See http://www.sec.gov/edgarhp.htm.

Sample Queries


Notes

• The EDGAR data is in the public domain.