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dc.contributor.authorWouters, C.
dc.contributor.authorDillon, Tharam S.
dc.contributor.authorRahayu, W.
dc.contributor.authorMeersman, Robert
dc.contributor.authorChang, Elizabeth
dc.contributor.editorTharam Dillon
dc.contributor.editorElizabeth Chang
dc.contributor.editorRobert Meersman
dc.contributor.editorKatia Sycara
dc.date.accessioned2017-01-30T15:20:47Z
dc.date.available2017-01-30T15:20:47Z
dc.date.created2009-03-05T00:54:18Z
dc.date.issued2008
dc.identifier.citationWouters, 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.urihttp://hdl.handle.net/20.500.11937/45428
dc.identifier.doi10.1007/978-3-540-89784-2
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.publisherSpringer
dc.subjectalgorithms
dc.subjectontology extraction
dc.subjectsemantic networks
dc.subjectWeb-based services
dc.titleExtraction process specification for materialized ontology views
dc.typeBook Chapter
dcterms.source.startPage130
dcterms.source.endPage175
dcterms.source.titleAdvances in web semantics I
dcterms.source.isbn9783540897835
dcterms.source.placeHeidelberg, Germany
dcterms.source.chapter15
curtin.departmentCentre for Extended Enterprises and Business Intelligence
curtin.accessStatusFulltext not available
curtin.facultyCurtin Business School
curtin.facultyThe Centre for Extended Enterprises and Business Intelligence (CEEBI)


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