| المستخلص: |
Much of the information in science, engineering and business has been recorded in the form of text. Traditionally, this information would appear in journals or company reports, but increasingly it can be found online in the World-Wide Web. Tools to support information access and discovery on the Internet are proliferating at an astonishing rate. Some of this development reflects real progress but there are also many exaggerated claims. The focus of this presentation will be to review the important technologies for text-based information access on the Web and to describe the progress that is being made by researchers in these areas. The Semantic Web3 provides a common framework that allows data to be shared and reused across application, enterprise, and community boundaries. It envisions the globally interconnected network of machine- processable information, made possible by means of the sharing of semantic data models or ontologies. Locating suitable existing ontology to capture the user-required information from the Internet is a big challenge in the current research of the Semantic Web. This research presents the ontology ability of search engine to match retrieved information content to a user's profile and present search capabilities for a Web application .It is possible to measure the performance of a search by understand user interest and information relevant. This research using data mining techniques to building ontology retrieves system to improve the quality of information access. This system using Association Rule to cluster the knowledge base and indexing them into web data base based on semantic way. The Onto -mining search engine in this research allows the user to perform keyword searches on certain types of “ontology” files, and to visually inspect the files to check their relevance. Onto Search system is based on Java, ASP.
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