International Journal of Applied Information Systems |
Foundation of Computer Science (FCS), NY, USA |
Volume 12 - Number 5 |
Year of Publication: 2017 |
Authors: B. Pam, A. A. Obiniyi, O. N. Oyelade |
10.5120/ijais2017451691 |
B. Pam, A. A. Obiniyi, O. N. Oyelade . An Improved Semantic Web-based Search Model for Ecommerce using OWL2. International Journal of Applied Information Systems. 12, 5 ( August 2017), 1-6. DOI=10.5120/ijais2017451691
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.