New method for ranking arabic web sites using ontology concepts

Recently the numbers of Arabic web sites are rapidly increasing in the World Wide Web. Existing search engines retrieve information based on keywords, so huge number of irrelevant information is retrieved for users. By the appearing of the second generation of the World Wide Web the semantic web, many suitable approaches to retrieve information that depends on semantic can be built. Semantic web provides data models and languages such as Resource Description Framework (RDF), and Web Ontology Language (WOL) that facilitate building ontology within a specific domain. Ontology can capture concepts for specific domain. In addition, it can capture properties of these concepts, and their relationships. Therefore, they help machines to deal with data domain semantically. This paper proposes a new approach to measure the relevancy of Arabic documents to the user query using ontology concepts. In this paper we built Arabic ontology concepts for the electronic commerce domain in Arabic language. Ontology concepts are used to find new approach for ranking Arabic documents, and show the effectiveness of ontology in retrieving relevant documents.