Extraction process specification for materialized ontology views
The success of the semantic web relies heavily on ontologies. However, using ontologies for this specific area poses a number of new problems. One of these problems, extracting a high quality ontology from a given base ontology, is currently receiving increasing attention. Areas such as versioning,...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Book Chapter |
| Published: |
Springer
2008
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/45428 |
| _version_ | 1848757281051639808 |
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| author | Wouters, C. Dillon, Tharam S. Rahayu, W. Meersman, Robert Chang, Elizabeth |
| author2 | Tharam Dillon |
| author_facet | Tharam Dillon Wouters, C. Dillon, Tharam S. Rahayu, W. Meersman, Robert Chang, Elizabeth |
| author_sort | Wouters, C. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | The success of the semantic web relies heavily on ontologies. However, using ontologies for this specific area poses a number of new problems. One of these problems, extracting a high quality ontology from a given base ontology, is currently receiving increasing attention. Areas such as versioning, distribution and maintenance of ontologies often involve this problem. Here, a formalism is presented that enables grouping ontology extraction requirements into different categories, called optimization schemes. These optimization schemes provide a way to introduce quality in the extraction process. An overview of the formalism is discussed, as well as a demonstration of several example optimization schemes. Each of these optimization schemes meets a certain requirement, and consists of rules and algorithms. Examples of how the formalism is deployed to reach a high-quality result, called a materialized ontology view, are covered. The presented methodology provides a foundation for further developments, and shows the possibility of obtaining usable ontologies in a highly automated way. |
| first_indexed | 2025-11-14T09:25:36Z |
| format | Book Chapter |
| id | curtin-20.500.11937-45428 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:25:36Z |
| publishDate | 2008 |
| publisher | Springer |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-454282022-12-07T06:50:50Z Extraction process specification for materialized ontology views Wouters, C. Dillon, Tharam S. Rahayu, W. Meersman, Robert Chang, Elizabeth Tharam Dillon Elizabeth Chang Robert Meersman Katia Sycara algorithms ontology extraction semantic networks Web-based services The success of the semantic web relies heavily on ontologies. However, using ontologies for this specific area poses a number of new problems. One of these problems, extracting a high quality ontology from a given base ontology, is currently receiving increasing attention. Areas such as versioning, distribution and maintenance of ontologies often involve this problem. Here, a formalism is presented that enables grouping ontology extraction requirements into different categories, called optimization schemes. These optimization schemes provide a way to introduce quality in the extraction process. An overview of the formalism is discussed, as well as a demonstration of several example optimization schemes. Each of these optimization schemes meets a certain requirement, and consists of rules and algorithms. Examples of how the formalism is deployed to reach a high-quality result, called a materialized ontology view, are covered. The presented methodology provides a foundation for further developments, and shows the possibility of obtaining usable ontologies in a highly automated way. 2008 Book Chapter http://hdl.handle.net/20.500.11937/45428 10.1007/978-3-540-89784-2 Springer restricted |
| spellingShingle | algorithms ontology extraction semantic networks Web-based services Wouters, C. Dillon, Tharam S. Rahayu, W. Meersman, Robert Chang, Elizabeth Extraction process specification for materialized ontology views |
| title | Extraction process specification for materialized ontology views |
| title_full | Extraction process specification for materialized ontology views |
| title_fullStr | Extraction process specification for materialized ontology views |
| title_full_unstemmed | Extraction process specification for materialized ontology views |
| title_short | Extraction process specification for materialized ontology views |
| title_sort | extraction process specification for materialized ontology views |
| topic | algorithms ontology extraction semantic networks Web-based services |
| url | http://hdl.handle.net/20.500.11937/45428 |