Research Of Web Information Retrieval System Based On Semantic Classification

With demand for Internet information retrieval continued enhancement, the traditional character-based retrieval keyword matching search technology can no longer meet the people's needs, since this simple characters matching technology ignores keywords contained semantic information, the traditional search engine's search entire rate and prospective rate have never satisfactorily breakthrough. Semantic Web as the current expansion of the Internet to information through the Internet on a good definition and description of machines help to a certain extent, understanding of data storage and transmission of information, use of Semantic Web technology in solving Intelligent Search made a lot of achievements, but because of the Semantic Web dealing with the technical complexity and application performance, and many other issues on the Internet now makes almost no mature semantic-based information retrieval tools, the current research in this area is a hot spot. Therefore research on how to use existing traditional information retrieval technology and Semantic Web technology to increase Web retrieval system efficiency and performance of the inquiries on current condition have some theoretical and practical application of significance.In this paper, the current search engine systems and related technologies based on the Semantic Web retrieval system and the practice of research results were analyzed and research. On the basis of study the different technologies advantage and disadvantage, the system focuses on simplifying the appropriate semantic analysis, using a variety of access methods in the Web version of the type of semantic information to intelligence technology into the traditional information retrieval methods, to a certain extent, that information retrieval system in retrieval performance guarantee under the premise of raising the retrieval rate and accurate survey of the entire investigation rate. Finally, this article key modules of the system conducted experiments and analysis, also pointed out that the system will have to expand research content and direction.