Extending an Ontology Alignment System with a Lexical Database

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dc.contributor.authorALHASSAN, Bello Baththama
dc.date.accessioned2015-03-30T08:44:25Z
dc.date.available2015-03-30T08:44:25Z
dc.date.issued2014-10
dc.descriptionA PROJECT THESIS SUBMITED TO THE SCHOOL OF POSTGRADUATE STUDIES, AHMADU BELLO UNIVERSITY, ZARIA IN PATIAL FULFILMENT FOR THE AWARD OF MASTER OF SCIENCE IN COMPUTER SCIENCE DEPARTMENT OF MATHEMATICS, FACULTY OF SCIENCE AHMADU BELLO UNIVERSITY, ZARIA NIGERIA October, 2014en_US
dc.description.abstractOntology alignment is a challenging problem in many applications and is a major concern for interoperability in information systems. It aims to find semantic correspondences between a pair of input Ontologies, which is still an active area of a research. 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 thesis investigated the theoretical and practical aspects as well as the limitations of Falcon-AO in both aspects. An enhanced architecture of Falcon-AO was also developed and implemented. The aim was to enhance the precision of Falcon-AO’s alignment through the use of a large lexical database “WordNet” in the alignment process. The extended Falcon-AO was built and validated using standard benchmark Ontologies. A comparative performance analysis of the original and extended Falcon-AO systems, based on alignment precision and execution time, shows the extended system to be more precise, although at a small execution time penalty.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/6332
dc.language.isoenen_US
dc.subjectOntology Alignment,en_US
dc.subjectSystem,en_US
dc.subjectLexical Database.en_US
dc.titleExtending an Ontology Alignment System with a Lexical Databaseen_US
dc.typeThesisen_US
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