| This paper provides an application based on Semantic Web technology. In recent years, Semantic Web is a focus about WWW research and also is one of the key technology of intelligent internet service and application development. Semantic Web provides a machine readable data format which enables a powerful way to express the meaning of data, and exposing relations between resources explicitly. By that, information could be processed by computer more intelligently. Integration of heterogeneous data set could be made more effectively.This paper gives an overview about the research of Semantic Web at home and abroad, discussion the Semantic Web related theories and key technologies. In this paper, an information analysis platform-Semantic Pharmacy- is developed by Semantic Web related technologies. The platform analyzes the information input by users and gets a conclusion by reasoning.The platform consists of 'information extraction module', 'ontology building module', 'ontology framework' and 'inference core module base on Jena, Pellet reasoner'.This paper puts forward a way to choose objects by the relation between concept and concept, and advances a method to build ontology automatically based on ontology framework. That could increase efficiency of building ontology, and avoid making common mistakes as the result of manual operation. |
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