The World Wide Web has become a potential information source that support researcher by providing them improved accessibility to enormous amounts of information in their domain of study. However, the problem is that most information on the current Web is designed for human consumption and even if it was derived from a database with well-defined meanings, the structure of the data is not evident to software browsing, or searching the web, which leads to irrelevant or unrelated information as a result of any search session. The Semantic Web is an initiative to extend the Web with machine-readable and understandable knowledge about its content. Fundamental to this initiative are ontologies; a mechanism to provide an explicit conceptualization of a domain and enable machines to understand the information described on the Web. In this paper, we propose an optimized search environment to help researcher and enable them to explore their domain of study easily and efficiently. The proposed model is based on the semantic web and its fundamental technologies particularly ontology; the mechanism that provide an explicit conceptualization of a domain of study and enable machines to understand the information described on the web.

Keywords: World Wide Web, Semantic Web, Semantic Search, Ontology