The Construction of Grid Information Retrieval Model Based on Ontology

The current grid information retrieval commonly uses the method based on keywords, and the retrieval method depends on the keywords that match their participation in the external form of characters, rather than the concept expressed by their neglect of the semantic information inherent in the word. It brings about varieties of problems, including too much information or false drop, etc. Thus, the prevalence of low searching efficiency existed and accuracy of the phenomenon is not high. Ontology technology which is combined with semantic grid platform would provide a new implement method to the intelligent information retrieval. Based on this, this paper constructs the grid information retrieval model to achieve a higher degree of matching between user´s requests and the retrieval content, thereby, increasing the recall ratio and precision ratio.