Large scale ontology vistualisation using ontology extraction
The semantic web relies on ontologies to provide its required taxonomies. Often, ontologies tend to grow very large, introducing a number of problems. One of these problems is the difficulty in viewing and browsing of these ontologies by humans. Although visualisation techniques attempt to improve t...
| Main Authors: | , , , |
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| Format: | Journal Article |
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Inderscience Enterprises Ltd
2005
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/30462 |
| _version_ | 1848753096017051648 |
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| author | Chang, Elizabeth Dillon, Tharam S. Rajugan, R. Wouters, C. |
| author_facet | Chang, Elizabeth Dillon, Tharam S. Rajugan, R. Wouters, C. |
| author_sort | Chang, Elizabeth |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | The semantic web relies on ontologies to provide its required taxonomies. Often, ontologies tend to grow very large, introducing a number of problems. One of these problems is the difficulty in viewing and browsing of these ontologies by humans. Although visualisation techniques attempt to improve this by offering better graphical representations, they fail to fully resolve the issue, as they do not fully utilise the semantics that the ontology harbours. Ontologies are typically treated as graphs, which are unable to express and utilise several features that enable the rich semantics of the ontologies. This paper presents how these shortcomings can be overcome by reusing database principles. Solutions in the database for analogue problems such as Data Warehousing, to resolve information overload, are based on the notion of a view. This paper reinterprets this notion for ontologies, resulting in an ontology extraction methodology. This methodology uses optimisation schemes to allow integration and interpretation of semantic related features of ontologies. Using the methodology as a preprocessing step to visualisation, allows for better results for viewing and browsing large scale ontologies. A number of possible outcomes using this methodology are discussed. |
| first_indexed | 2025-11-14T08:19:04Z |
| format | Journal Article |
| id | curtin-20.500.11937-30462 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:19:04Z |
| publishDate | 2005 |
| publisher | Inderscience Enterprises Ltd |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-304622018-10-04T01:58:13Z Large scale ontology vistualisation using ontology extraction Chang, Elizabeth Dillon, Tharam S. Rajugan, R. Wouters, C. ontology visualisation ontologies ontology transformation information systems ontology ontology extraction methodology semantic web The semantic web relies on ontologies to provide its required taxonomies. Often, ontologies tend to grow very large, introducing a number of problems. One of these problems is the difficulty in viewing and browsing of these ontologies by humans. Although visualisation techniques attempt to improve this by offering better graphical representations, they fail to fully resolve the issue, as they do not fully utilise the semantics that the ontology harbours. Ontologies are typically treated as graphs, which are unable to express and utilise several features that enable the rich semantics of the ontologies. This paper presents how these shortcomings can be overcome by reusing database principles. Solutions in the database for analogue problems such as Data Warehousing, to resolve information overload, are based on the notion of a view. This paper reinterprets this notion for ontologies, resulting in an ontology extraction methodology. This methodology uses optimisation schemes to allow integration and interpretation of semantic related features of ontologies. Using the methodology as a preprocessing step to visualisation, allows for better results for viewing and browsing large scale ontologies. A number of possible outcomes using this methodology are discussed. 2005 Journal Article http://hdl.handle.net/20.500.11937/30462 10.1504/IJWGS.2005.007552 Inderscience Enterprises Ltd restricted |
| spellingShingle | ontology visualisation ontologies ontology transformation information systems ontology ontology extraction methodology semantic web Chang, Elizabeth Dillon, Tharam S. Rajugan, R. Wouters, C. Large scale ontology vistualisation using ontology extraction |
| title | Large scale ontology vistualisation using ontology extraction |
| title_full | Large scale ontology vistualisation using ontology extraction |
| title_fullStr | Large scale ontology vistualisation using ontology extraction |
| title_full_unstemmed | Large scale ontology vistualisation using ontology extraction |
| title_short | Large scale ontology vistualisation using ontology extraction |
| title_sort | large scale ontology vistualisation using ontology extraction |
| topic | ontology visualisation ontologies ontology transformation information systems ontology ontology extraction methodology semantic web |
| url | http://hdl.handle.net/20.500.11937/30462 |