Implementation Of Intelligent Search Engine By Using Concept Retrieval

Search engine technology to a certain strategy collects and finds information in Internet. It understands, extracts, and processes the information, and provides retrieval services for the users. Most of the current search engines use keyword matching. If is found to contain the keywords, the file or the website as a literature search result back to the user. Because matching the shape character, and not by their expression of the concept, often get incomplete and fault retrieval results.So, it needs to adopt some strategies to improve the search engine knowledge processing capabilities and ability to understand. It has become the future development goals and trends of the search technology. Concept-based Retrieval is a technology available. Concept Retrieval is based on keywords from the current level to a level based on knowledge. From the words expressed by the concept understanding and dealing with users search request.This paper studies the key technology of realization the concept retrieval -Knowledge Base technology, and the establishment, use, and representation of Knowledge Base. Choose ontology technology as a way to solve problems. This paper will put ontology technology, Jena reasoning and Lucene full-text search tools together. This paper did depth studies to Chemical professional vocabulary to determine the relationship between the level of vocabulary structure, which defines the category and class attributes, as well as category and the relationship between the categories. This paper created ontology in Chemical field by using Protege tools and chose OWL as ontology language. Jena tools for use to establish rules of reasoning to analysis and reasoning ontology for enquiries. Specific Index Search is used as a search engine core Lucene. Basically realizes the concept retrieval of the two main functions: synonym searching and retrieval related to expansion.This paper uses the text file for experiments, which is converted by the website snatched from the chemical professional by the Spider module of search engine system in our laboratory. By the experimental data, it can be seen that concept-based search engine has high recall rate and make intelligent search engine.