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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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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...

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Published in: Computer Graphics Forum
ISSN: 0167-7055 1467-8659
Published: 2008
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URI: https://cronfa.swan.ac.uk/Record/cronfa5278
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spelling 2013-11-05T13:02:06.6896350 v2 5278 2012-02-23 From Web Data to Visualization via Ontology Mapping 3c75caf0df70504d841270d636835fde Philip Grant Philip Grant true false a5c03d2fcd1e4a881ced4d33bb206c95 Min Chen Min Chen true false 2012-02-23 SCS 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. Journal Article Computer Graphics Forum 27 3 959 966 0167-7055 1467-8659 31 12 2008 2008-12-31 10.1111/j.1467-8659.2008.01230.x COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University 2013-11-05T13:02:06.6896350 2012-02-23T17:01:47.0000000 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science O Gilson 1 N Silva 2 P.W Grant 3 M Chen 4 Philip Grant 5 Min Chen 6
title From Web Data to Visualization via Ontology Mapping
spellingShingle From Web Data to Visualization via Ontology Mapping
Philip Grant
Min Chen
title_short From Web Data to Visualization via Ontology Mapping
title_full From Web Data to Visualization via Ontology Mapping
title_fullStr From Web Data to Visualization via Ontology Mapping
title_full_unstemmed From Web Data to Visualization via Ontology Mapping
title_sort From Web Data to Visualization via Ontology Mapping
author_id_str_mv 3c75caf0df70504d841270d636835fde
a5c03d2fcd1e4a881ced4d33bb206c95
author_id_fullname_str_mv 3c75caf0df70504d841270d636835fde_***_Philip Grant
a5c03d2fcd1e4a881ced4d33bb206c95_***_Min Chen
author Philip Grant
Min Chen
author2 O Gilson
N Silva
P.W Grant
M Chen
Philip Grant
Min Chen
format Journal article
container_title Computer Graphics Forum
container_volume 27
container_issue 3
container_start_page 959
publishDate 2008
institution Swansea University
issn 0167-7055
1467-8659
doi_str_mv 10.1111/j.1467-8659.2008.01230.x
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
document_store_str 0
active_str 0
description 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.
published_date 2008-12-31T03:06:19Z
_version_ 1763749689790824448
score 11.016235

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