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Scirj, Volume XIII [2025]
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Scirj Volume III, Issue I, January 2015 Edition ISSN: 2201-2796 
Extending an Ontology Alignment System with a Lexical Database
Baththama Bello Alhassan, Sahalu B. Junaidu, A.A. Obiniyi Abstract: Ontology alignment is a challenging problem which limits or even prevents interoperability among information systems. It aims to find semantic correspondences between a pair of input ontologies with a view to making them semantically interoperable. One product of ontology alignment research is Falcon Aligning Ontologies (Falcon-AO), a system that attempts to align a pair of input ontologies automatically. This paper developed and implemented an enhanced version of Falcon-AO with increased precision. The enhanced system makes use of a large lexical database, WordNet, in the alignment process. Performance of the extended Falcon-AO system was tested and validated using standard benchmark ontologies from the Ontology Alignment Evaluation Initiative. Comparative performance analysis of the original and extended. Reference this Paper: Extending an Ontology Alignment System with a Lexical Database by Baththama Bello Alhassan, Sahalu B. Junaidu, A.A. Obiniyi published at: "Scientific Research Journal (Scirj), Volume III, Issue I, January 2015 Edition, Page 12-17 ". Search Terms: Ontology Alignment; WordNet [Read Research Paper] [Full Screen] |
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