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From Web Data to Visualization via Ontology Mapping
Computer Graphics Forum, Volume: 27, Issue: 3, Pages: 959 - 966
Swansea University Authors: Philip Grant, Min Chen
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DOI (Published version): 10.1111/j.1467-8659.2008.01230.x
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...
Published in: | Computer Graphics Forum |
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ISSN: | 0167-7055 1467-8659 |
Published: |
2008
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Online Access: |
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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. |
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College: |
Faculty of Science and Engineering |
Issue: |
3 |
Start Page: |
959 |
End Page: |
966 |