Research And Design Of Searching Engine Based On Medical Domain Ontology

Recently as the growing of Internet WEB resources the world wide web experienced unprecedented development during the past twenty years. Now it has become one of the indispensable tools in our daily work and study and the search engine as the main access to information technology be developed as well. Search engine is based on certain strategies using of specific computer programs to collect information on the Internet and then return the information to user after organizations and processing, which provide a kind of consulting services system for users. At present with the rapidly expanding of WEB resources and the people's life rhythm speeding up, a fast and accurate search engine is required to help user to find the information they want. However, the current search engine query technology is mainly based on keyword matching, which cannot meet user requirements in completeness and accuracy.In fact, the ontology as describe the concept of modeling tools in semantic and knowledge levels, which has a good hierarchy and the ability of logical reasoning. Therefore, ontology technology in information retrieval, especially in the field of knowledge-based semantic retrieval has been applied widely.The main purpose of this issue is to apply ontology technologies into the search engine information retrieval module in order to improve the quality of search engines. This approach has make up the deficient in completeness and accuracy of search result which only rely on keyword search.In the analysis of the current retrieval methods, combined with the characteristics and definitions of ontology, proposed a new retrieval model, and this model's analysis and research include semantic analysis processing, similarity calculation, semantic extension and other aspects. The main research work as follows:First, using hierarchical structure relation of ontology of ontology to expand its concept content, and realize the intelligent reasoning in information retrieval system.Second, according to the formal representation of ontology and the relationship of various elements, this paper puts forward a new calculation method of concept semantic similarity. Make the system to calculate the similarity of concepts, and sort query results by similarity.Third, realize the ontology storage based on Jena and use the RDQL language to query the concept of ontology, including explicit and implicit relational query.Fourth, introduced the process of information system retrieval, realized the semantic analysis of query condition, expanded query and optimized sorting in inquires the results and other functions. Fifth, designed the Ontology-based Medical Search Engine Prototype System (OCHRIMPSEPS), the concept query and extend query in retrieval system improve the deficient in completeness and accuracy and realized intelligent retrieval of field resources.