Research Of Web Semantic Information Retrieval Based On Domain-Ontology

With the rapid development of network and information technology, Search engines have become more and more high frequency of use as the main Internet information retrieval tools. In the information retrieval, search intention is not very clear. Therefore, search engines provide the relevant search for users to reference and help users retrieve specific goals. However, most of the traditional relevant search engines adopted keyword matching, which return low relevance, low recall and low precision results.How to make Search engines improve semantic processing and interpret the search intentions have become a hot and difficult problem.Semantic relevance is the degree of inter-related between two words, which focuses on the combination characteristic of words but not the polymer characteristic. Semantic relevance has been widely used in natural language processing, which has had an important application value in information retrieval disambiguation, query expansion, precision and recall. The introduction of semantic relevance into search engines aims to improve semantic processing capabilities, thereby enhancing the intelligence and efficiency of search engines.Taking tourism for example, this paper proposes a new Ontology-based related search engine, which introduce semantic relevance into information retrieval, so that the search engine can recommend some syntactically independent and semantically related keywords to users for reference. In addition, this paper implements the relevant search engine.The major contributions are summarized as follows:(1) This paper describes the basics of ontology, introduces domain ontology into search engines. We focus on the analysis of domain ontology's structure,OWL2 ontology language and ontology construction. Combination the characteristics of Web tourism information and design requirements, we use ontology building tool Protege to construct a tourism body by seven-step method.(2) This paper discusses Chinese semantic relevance and its algorithm, and analyzes the implementation and application of semantic relevance. (3) This paper proposes a semantic relevance calculation method based on ontology correlation concept lattice through the way of combining domain ontology, which Use the advantages of domain ontology in the Knowledge description, semantic relations and the inference mechanism and the structure characteristics of concept lattice in clustering knowledge.(4) We implement the proposed techniques in a tourism ontology-based search engine, which Provides relevant search...