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dc.contributor.authorChang, Elizabeth
dc.contributor.authorLiu, W.
dc.contributor.authorScharl, A.
dc.contributor.authorWeichselbraun, A.
dc.identifier.citationChang, Elizabeth and Liu, Wei and Scharl, Arno and Weichselbraun, Albert. 2005. Semi-automatic ontology extension using spreading activation. Journal of Universal Knowledge Management. (1): 50-58.

This paper describes a system to semi-automatically extend and refine ontologies by mining textual data from the Web sites of international online media. Expanding a seed ontology creates a semantic network through co-occurrence analysis, trigger phrase analysis, and disambiguation based on the WordNet lexical dictionary. Spreading activation then processes this semantic network to find the most probable candidates for inclusion in an extended ontology. Approaches to identifying hierarchical relationships such as subsumption, head noun analysis and WordNet consultation are used to confirm and classify the found relationships. Using a seed ontology on "climate change" as an example, this paper demonstrates how spreading activation improves the result by naturally integrating the mentioned methods.

dc.subjectSemantic Network
dc.subjectCo-occurrence Analysis
dc.subjectSpreading Activation
dc.subjectinformation systems
dc.subjectOntology Extension
dc.titleSemi-automatic ontology extension using spreading activation
dc.typeJournal Article
dcterms.source.titleJournal of Universal Knowledge Management
curtin.departmentCentre for Extended Enterprises and Business Intelligence
curtin.accessStatusOpen access
curtin.facultyCurtin Business School
curtin.facultySchool of Information Systems

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