Ontology-based Information Visualization: Towards Semantic Web Applications

Christiaan Fluit
Marta Sabou
Frank van Harmelen

We have reported in previous work (VSW'01, VSW'02) on case studies that exploit the expressive power of this technique. Since then, the growth of the Semantic Web has made it possible to take this technology a step further and integrate it in three different applications. Two of them are employed within Semantic Web research projects. The third is a commercial information retrieval application. These applications exhibit the characteristics of a typical Semantic Web tool: they provide easy (visual) access to a set of heterogeneous, distributed data sources and rely on Semantic Web encoding languages and storage facilities for the manipulation of the visualized data. This chapter is centred around the description of these three applications. First, we will explain the contents of the Cluster Map visualization and the kind of ontologies it visualizes in section 3.2. Section 3.3 presents the three real-life applications that incorporate the visualization. These two sections lead to a discussion in section 3.4 on how the visualization can support several user tasks, such as analysis, search and exploration. Some considerations for future work and a summary conclude this chapter.

This is a revised version of the 2002 version.

(PDF paper, 560Kb)


@InCollection{VSW05,
  author =       "Christiaan Fluit and Marta Sabou and Frank van Harmelen",
  title =        "Ontology-based Information Visualisation: Towards Semantic Web Applications",
  booktitle =    "Visualising the Semantic Web (2nd edition)",
  year =         2005,
  publisher =    "Springer Verlag",
  editor =       "Vladimir Geroimenko",
  keywords = {Semantic Web},
  urlPaper = "http://www.cs.vu.nl/~frankh/postscript/VSW05.pdf"
}
Copyright Birkhäuser © 2005

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