Research on Web Semantic Information Retrieval Technology Based on Ontology

Abstract

To solve the problems of label clustering, bad theme relevance, etc. of information retrieval especially the semantic retrieval in the context of Chinese environment. The appropriate information retrieval model for the Chinese semantic environment is constructed through introducing ontology and class label mechanism. Based on optimization of the query retrieval submitted by ontology and label to the user and through calculation of the similarity between ontology label and member engine data, the dispatching method for member search engine database is proposed; the method appropriate for extracting this semantic information retrieval model data is proposed through improvement of the traditional STC algorithm. The research on semantic retrieval technology based on ontology and label breaks through the bottleneck of semantic search and information resource management & organization and enhances the scope and quality of the semantic information retrieval.