Ontology's Building And Applications In Information Retrieval System

With the development of the technology of network, the information quantity's growth is the geometry level. But the network information resource's carrier is many and varied. Add the platform and the language is inconsistent with the standard. So each domain information resource's management and use have many difficulties. The people felt that is at a loss how to proceed, when they facing huge information resource time. On the one hand the network information resource fast growth, quantity is enormous, on the other hand the people wanted to find the true ideal information become more and more difficult. "The information overloads" and "the information disorientation" become one of hot spots which the people discuss. If wants to solve the above problem, we must overcome the insufficient of tradition retrieval technique. At present the network has the above flaw in the information expression and the retrieval, is mainly because the design goal faces the user reading and processing, and the computer cannot "understand". So it has limited computer's ability in automated analysis and processing in the information retrieval and further intellectualization information processing. The semantic net appearance is for the full display network "the biggest potential", The semantic net's technology can supply the information which the computer can understand to the network, It Provides a method to express the resources which computer can understand, Finally make people can sufficient use network resource. But as the foundation of the semantic net——ontology is also one of hot spots which the people study now.In the paper, first the tradition information retrieval in detail was introduced and then points out its flaw and insufficiency. Second the semantic net concept was introduced, Sequential further introduced the concept of ontology which is foundation of the semantic net and then explain the semantic retrieval principle and the superiority. Construction ontology method and construction ontology tool is introduced in detail. And then construct the ontology of the essential information in the university ontology by using protege combined with the modeling method based on software lifecycle. Based on this and has designed three architecture of retrieval system which is based on the university basic information main body. Simultaneously has given the inquiry inference algorithm. Finally implement the prototype system based on ontology retrieval by using Jena API.