Extraction process specification for materialized ontology views
dc.contributor.author | Wouters, C. | |
dc.contributor.author | Dillon, Tharam S. | |
dc.contributor.author | Rahayu, W. | |
dc.contributor.author | Meersman, Robert | |
dc.contributor.author | Chang, Elizabeth | |
dc.contributor.editor | Tharam Dillon | |
dc.contributor.editor | Elizabeth Chang | |
dc.contributor.editor | Robert Meersman | |
dc.contributor.editor | Katia Sycara | |
dc.date.accessioned | 2017-01-30T15:20:47Z | |
dc.date.available | 2017-01-30T15:20:47Z | |
dc.date.created | 2009-03-05T00:54:18Z | |
dc.date.issued | 2008 | |
dc.identifier.citation | Wouters, Carlo and Dillon, Tharam S. and Rahayu, Wenny and Meersman, Robert and Chang, Elizabeth. 2008. Extraction process specification for materialized ontology views, in Tharam Dillon, Elizabeth Chang, Robert Meersman and Katia Sycara (ed), Advances in web semantics I. pp. 130-175. Heidelberg, Germany: Springer. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/45428 | |
dc.identifier.doi | 10.1007/978-3-540-89784-2 | |
dc.description.abstract |
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. | |
dc.publisher | Springer | |
dc.subject | algorithms | |
dc.subject | ontology extraction | |
dc.subject | semantic networks | |
dc.subject | Web-based services | |
dc.title | Extraction process specification for materialized ontology views | |
dc.type | Book Chapter | |
dcterms.source.startPage | 130 | |
dcterms.source.endPage | 175 | |
dcterms.source.title | Advances in web semantics I | |
dcterms.source.isbn | 9783540897835 | |
dcterms.source.place | Heidelberg, Germany | |
dcterms.source.chapter | 15 | |
curtin.department | Centre for Extended Enterprises and Business Intelligence | |
curtin.accessStatus | Fulltext not available | |
curtin.faculty | Curtin Business School | |
curtin.faculty | The Centre for Extended Enterprises and Business Intelligence (CEEBI) |