Intelligent Search Engine with Semantic Web Technology

Abstract

According to the experiences of retrieving contents by search engines, people often get a great deal of information irrelevant to user’s intentions. The main reason caused this problem is the lack of enough semantic descriptions of digital contents during analyzing, searching and matching processes. The purpose of this paper is to improve the searching efficiency, user’s satisfactions and the practicability of a search engine. We apply exploit ontologyies theory to describe contents in a semantic manner. In our proposed example of digital library application, we utilized Digital Library Ontology to describe contents, domain knowledge and user profiles. Based on reasoning techniques, we developed an inference-based intelligent search engine to assist in literatures retrieval. Experiments show the proposed intelligent search engine can efficiently improve searching performances. To distinguish from traditional keywords search, our approach can provide better searching result, which is based on deduced needs from user. The responded literatures are verified to have better comprehension to user.