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dc.contributor.authorDong, Hai
dc.contributor.authorHussain, Farookh Khadeer
dc.contributor.authorChang, Elizabeth
dc.contributor.editorOsvaldo Gervasi, C. J. Kenneth Tan, Marina Gavrilova, David Taniar
dc.date.accessioned2017-01-30T13:33:45Z
dc.date.available2017-01-30T13:33:45Z
dc.date.created2012-05-15T20:00:41Z
dc.date.issued2011
dc.identifier.citationDong, Hai and Hussain, Farookh Khadeer and Chang, Elizabeth. 2011. A context-aware semantic similarity model for ontology environments. Concurrency and Computation: Practice and Experience. 23 (5): pp. 505-524.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/32892
dc.identifier.doi10.1002/cpe.1652
dc.description.abstract

While many researchers have contributed to the field of semantic similarity models so far, we find that most of the models are designed for the semantic network environment. When applying the semantic similarity model within the semantic-rich ontology environment, two issues are observed: (1) most of the models ignore the context of ontology concepts and (2) most of the models ignore the context of relations. Therefore, in this paper, we present a solution for the two issues, including a novel ontology conversion process and a context-aware semantic similarity model, by considering the factors of both the context of concepts and relations, and the ontology structure. Furthermore, in order to evaluate this model, we compare its performance with that of several existing models' performance in a large-scale knowledge base, and the evaluation result preliminarily proves the technical advantage of our model in ontology environments. Conclusions and future works are described in the final section.

dc.publisherJohn Wiley & Sons Ltd
dc.subjectOWL
dc.subjectsemantic network
dc.subjectontology
dc.subjectsemantic similarity model
dc.titleA context-aware semantic similarity model for ontology environments
dc.typeJournal Article
dcterms.source.volume23
dcterms.source.number5
dcterms.source.startPage505
dcterms.source.endPage524
dcterms.source.issn15320626
dcterms.source.titleConcurrency and Computation: Practice and Experience
curtin.departmentDigital Ecosystems and Business Intelligence Institute (DEBII)
curtin.accessStatusFulltext not available


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