AN IMPROVED SEMANTIC WEB-BASED SEARCH MODEL FOR E-COMMERCE USING OWL2

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dc.contributor.authorPAM, BULUS DUNG
dc.date.accessioned2017-11-28T07:46:48Z
dc.date.available2017-11-28T07:46:48Z
dc.date.issued2017-05
dc.descriptionA DESEERTATION SUBMITTED TO THE SCHOOL OF POSTGRADUATE STUDIES AHMADU BELLO UNIVERSITY (ABU), ZARIA IN PARTIAL FULLFILMENT OF THE REQUIREMENTS FOR THE AWARD OF A MASTER OF SCIENCE (M.Sc.) DEGREE IN COMPUTER SCIENCE DEPARTMENT OF COMPUTER SCIENCE AHMADU BELLO UNIVERSITY (ABU), ZARIAen_US
dc.description.abstractInformation sharing across independent web applications seems impossible with just the static world wide web applications. Meanwhile, with the advent of the semantic web, web applications interoperability through information sharing and Linked Data have been achieved. This interoperability is usually presented as a decentralized system that allows agents to crawl over them for information sharing or gathering, and is employed in developing web applications like E-Commerce. However, the existinge-Commerce model is being limited by its knowledge representation language. This model employs ontological approach using OWL for knowledge modeling and representation. Hence, this research seeks to create an improved e-commerce ontological base model which has a more rich and expressive knowledge base with OWL2 for knowledge modeling and representation.This knowledgebase will be compared against the e-Commerce knowledgebase that was modeled with OWL. Search results from the new knowledge base by the user yielded a more specific and needful outcome as compared to search on the knowledge base created with OWL.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/9553
dc.language.isoenen_US
dc.subjectIMPROVED SEMANTIC WEB-BASED SEARCH MODEL,en_US
dc.subjectE-COMMERCE,en_US
dc.subjectOWL2,en_US
dc.titleAN IMPROVED SEMANTIC WEB-BASED SEARCH MODEL FOR E-COMMERCE USING OWL2en_US
dc.typeThesisen_US
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