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dc.contributor.authorAshraf, Jamshaid
dc.contributor.authorHadzic, Maja
dc.contributor.editorToru Ishida and Christian S. Jensen
dc.date.accessioned2017-01-30T13:09:06Z
dc.date.available2017-01-30T13:09:06Z
dc.date.created2012-02-19T20:01:02Z
dc.date.issued2011
dc.identifier.citationAshraf, Jamshaid and Hadzic, Maja. 2011. Domain ontology usage analysis framework, in 7th International Conference on Semantics Knowledge and Grid (SKG), Oct 24-26 2011. Beijing, China: IEEE.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/29003
dc.identifier.doi10.1109/SKG.2011.33
dc.description.abstract

The Semantic Web (also known as Web of Data) is growing fast and becoming a decentralized knowledge platform for publishing and sharing information. The web ontologies promote the establishment of a shared understanding between data providers and data consumers, allowing for automated information processing and effective and efficient information retrieval. The majority of existing research efforts is focused around ontology engineering, ontology evaluation and ontology evolution. This work goes a step further and evaluates theontology usage. In this paper, we present an Ontology Usage Analysis Framework (OUSAF) and a set of metrics used to measure the ontology usage. The implementation of the proposed framework is illustrated using the example of GoodRelations ontology (GRO). GRO has been well adopted by the semantic ecommerce community, and the OUSAF approach has been used to analyse GRO usage in the dataset comprised of RDF data collected from the web.

dc.publisherConference Publishing Services
dc.titleDomain ontology usage analysis framework
dc.typeConference Paper
dcterms.source.startPage75
dcterms.source.endPage82
dcterms.source.titleProceedings of the international conference on semantics, knowledge and grids (SKG 2011)
dcterms.source.seriesProceedings of the international conference on semantics, knowledge and grids (SKG 2011)
dcterms.source.isbn978-1-4577-1323-1
dcterms.source.conferenceInternational Conference on Semantics, Knowledge and Grids (SKG 2011)
dcterms.source.conference-start-dateOct 24 2011
dcterms.source.conferencelocationBeijing, China
dcterms.source.placeChina
curtin.note

© 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

curtin.departmentDigital Ecosystems and Business Intelligence Institute (DEBII)
curtin.accessStatusOpen access


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