Information visualization and the semantic web

Lawrence Reeve, Hyoil Han, Chaomei Chen

Research output: Chapter in Book/Report/Conference proceedingChapter

7 Citations (Scopus)


The Semantic Web emphasizes that data should be machine-understandable, whereas information visualization aims to maximize our perceptional and cognitive abilities to make sense of visual-spatial representations of abstract information structures. One of the fundamental requirements of the Semantic Web is to annotate Web data with ontology to accomplish machine-understandable Web. Will they fit to work along with one another? Our illustrative example is intended to demonstrate that on the one hand, the Semantic Web can largely simplify some information visualization tasks today, and semantic annotation can be utilized for semantic visualization; on the other hand, the two fields differ from their philosophical groundings to tactical approaches to individual problems such as knowledge modeling and representation. A lot of theoretical and practical work remains to be done to find the right track for the two fields to work together harmoniously.

Original languageEnglish
Title of host publicationVisualizing the Semantic Web
Subtitle of host publicationXML-Based Internet and Information Visualization
PublisherSpringer London
Number of pages26
ISBN (Print)1852339764, 9781852339760
Publication statusPublished - 2006

All Science Journal Classification (ASJC) codes

  • Computer Science(all)


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