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From Web Data to Visualization via Ontology Mapping / O Gilson, N Silva, P.W Grant, M Chen, Philip Grant, Min Chen

Computer Graphics Forum, Volume: 27, Issue: 3, Pages: 959 - 966

Swansea University Authors: Philip Grant, Min Chen

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Abstract

In this paper, we propose a novel approach for automatic generation of visualizations from domain-specific data available on the web. We describe a general system pipeline that combines ontology mapping and probabilistic reasoning techniques. With this approach, a web page is first mapped to a Domai...

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Published in: Computer Graphics Forum
ISSN: 0167-7055 1467-8659
Published: 2008
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa5278
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Abstract: In this paper, we propose a novel approach for automatic generation of visualizations from domain-specific data available on the web. We describe a general system pipeline that combines ontology mapping and probabilistic reasoning techniques. With this approach, a web page is first mapped to a Domain Ontology, which stores the semantics of a specific subject domain (e.g., music charts). The Domain Ontology is then mapped to one or more Visual Representation Ontologies, each of which captures the semantics of a visualization style (e.g., tree maps). To enable the mapping between these two ontologies, we establish a Semantic Bridging Ontology, which specifies the appropriateness of each semantic bridge. Finally each Visual Representation Ontology is mapped to a visualization using an external visualization toolkit. Using this approach, we have developed a prototype software tool, SemViz, as a realisation of this approach. By interfacing its Visual Representation Ontologies with public domain software such as ILOG Discovery and Prefuse, SemViz is able to generate appropriate visualizations automatically from a large collection of popular web pages for music charts without prior knowledge of these web pages.
College: College of Science
Issue: 3
Start Page: 959
End Page: 966