Research Of Knowledge Resources Retrieval And Integration Based On Semantic

With the explosive growth of Internet, World Wide Web (WWW) has become an enormous, dynamic information service network with multiple information resources and worldwide sites. Traditional information retrieval technologies cannot meet the need for better understanding and processing information on the semantic level. However, based on semantic understanding, semantic retrieval has become a hot topic. Because of ontology's capability to represent meaning of the information by hierarchical structure, and its reasoning support, it is significant to use ontology in enterprise knowledge resources retrieval.Firstly, this paper introduces the basic theory of semantic and ontology. Then it proposes a domain ontology building approach based on the characteristics of domain knowledge and to specify an instance of the build process. After that, the paper describes the ontology reasoning mechanism, sums up the current ontology reasoning engine technology framework and explains the reasoning process through the enterprise knowledge reasoning.Secondly, with optimizing enterprise knowledge resource management as research background, the paper builds enterprise ontology by use of semantic and ontology which to provide for enterprise knowledge resources reasoning, retrieval and integration display. In the enterprise knowledge resources collection aspect, it realizes the overall structure of folder upload and document tree structure display, which can improve the collection efficiency. In the enterprise knowledge resources retrieval result processing aspect, the retrieval result is optimizationed by the ontology reasoning and semantic relevance, and the enterprise knowledge association is displayed to users. In the enterprise knowledge resources integration aspect, the enterprise knowledge visualization display enables users fully understand the concept level of the knowledge and improve the retrieval efficiency.Finally, the paper designs and develops a prototype system which realizes the functions of enterprise knowledge resources retrieval and integration. The prototype confirms the feasibility of semantic-based enterprise knowledge resources retrieval.