Improving Ontology Matching Towards Achieving Semantic Interoperability

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dc.contributor.authorBagiwa, Aminu Mustapha
dc.date.accessioned2014-03-07T06:56:36Z
dc.date.available2014-03-07T06:56:36Z
dc.date.issued2011-06
dc.descriptionA Thesis Report Submitted To The Postgraduate School, Ahmadu Bello University In Partial Fulfillment For The Award Of M.Sc Degree In Computer Science.en_US
dc.description.abstractABSTRACT This work proposes an algorithm for concept matching, applied in the ontology mapping domain. The basic idea is to seek the effective semantics embedded in the concept name by analyzing the contexts in which it appears. Through simple interaction with the known lexicon WordNet, the right meaning associated with a concept is unequivocally elicited by exploring their local semantic contexts. This approach reveals interesting results for the word sense disambiguation, when polysemy problems require a semantic interpretation. The algorithm, though takes a longer time but yet produce a better matching because the concepts in the ontology trees are populated with much semantic information at the end of the first and second step of the matching process.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/3440
dc.language.isoenen_US
dc.subjectIMPROVING,en_US
dc.subjectOntology,en_US
dc.subjectMatching,en_US
dc.subjectTowards,en_US
dc.subjectAchieving,en_US
dc.subjectSemantic,en_US
dc.subjectInteroperability.en_US
dc.titleImproving Ontology Matching Towards Achieving Semantic Interoperabilityen_US
dc.typeThesisen_US
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