Research of Semantic Information Retrieval Based on Conceptual Analysis of User Queries

Abstract

With the spread and the rapid development of Internet, online information increases greatly. So ,how to organize and process the large amount of this information becomes a challenge. An important research of information retrieval technology is how to express users' intention accurately and diagnose the relations between Web pages and users' need. In this paper, a semantic information retrieval method based on conceptual analysis of user queries is proposed. The new method tightly integrates description logic reasoning and traditional information retrieval technique. In it, the user's search intention is expressed by description logic and the relevant Web pages are recalled by means of the traditional search engine. Further, the fuzzy description logic is introduced to confirm the relations between Web pages and users’ search needs. Hence, a prototype is implemented. The experimental results show the method proposed in this paper could enormously enhance the search result degree of correlation. This paper’s work is an important component of conceptual retrieval model, which provides valuable ideas and methods for the conceptual analysis of queries.