HCLSIG/Visualization

Overview

An intuitive visualization of complex information plays an key role in learning, communication and discovery. Given the unlimited applications to create portals or mashups over hyper-dimensional Semantic Web data, the HCLS IG has a vested interest in understanding the state of the art and to provide requirements and feedback to application developers in order to create even more powerful visualization platforms that can be used towards greater adoption of Semantic Web technologies.

Deliverables

• Use Cases
• Requirements
• Approaches (e.g charts, graphs, clustering, heatmaps)
• Deployments
  • FlyAtlas gene expression
• Evaluations

Tools

web-based

• Exhibit and Exhibit3
• SParallax
• VisualWeb's RelFinder, SemLens, gFacet, tFacet
• sig.ma
• Metaome's Life Sciences Search Engine

applications

• Cytoscape
• IO Informatics Sentient Knowledge Explorer (KE)
• Fluid Ops Information Workbench

format converters

• GEO2KML

Frameworks

• Google Visualization API
• Processing
• D3
• sgvizler JavaScript SPARQL visualization

Presentations

• Alex Garcia
• TED - Jer Thorp (NYT)

Conferences

• Visualizing Biological Data
• IEEE Symposium on Biological Data Visualization

Resources

• Approaches to visualizing linked data: a survey
• W3C listing of semantic web tools
• Bioqueries - SPARQL queries over linked data
• Changing the Equation on Scientific Data Visualization by Peter Fox, James Hendler
• The changing face of visualisation in a world of data intensive science

People (add yourself here)

• Jan Aerts - Leuven University
• Bosse Andersson
• Alexander Garcia
• Michel Dumontier, Carleton University
• Charlie Mead, NCI-CBIIT
• Jodi Schneider, DERI
• Mary Panahiazar, Kno.e.sis
• Joanne Luciano, TWC Rensselaer Polytechnic Institute
• Jun Zhao,
• Erich Bremer, Stony Brook University