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An Improved Semantic Web-based Search Model for Ecommerce using OWL2

B. Pam, A. A. Obiniyi, O. N. Oyelade. Published in Information Systems

International Journal of Applied Information Systems
Year of Publication: 2017
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors:B. Pam, A. A. Obiniyi, O. N. Oyelade
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  1. B Pam, A A Obiniyi and O N Oyelade. An Improved Semantic Web-based Search Model for Ecommerce using OWL2. International Journal of Applied Information Systems 12(5):1-6, August 2017. URL, DOI BibTeX

    	author = "B. Pam and A. A. Obiniyi and O. N. Oyelade",
    	title = "An Improved Semantic Web-based Search Model for Ecommerce using OWL2",
    	journal = "International Journal of Applied Information Systems",
    	issue_date = "August 2017",
    	volume = 12,
    	number = 5,
    	month = "August",
    	year = 2017,
    	issn = "2249-0868",
    	pages = "1-6",
    	url = "",
    	doi = "10.5120/ijais2017451691",
    	publisher = "Foundation of Computer Science (FCS), NY, USA",
    	address = "New York, USA"


Information 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 existing e-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 richer and expressive knowledge base with OWL2 for knowledge modeling and representation. This knowledgebase will be compared against the e-Commerce knowledge base 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.


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E-commerce, OWL, OWL2, RDF, RDFS, SQWRL, and SPARQL