Research Of System Of Query And Auto-renewal Of Ontology

With the development of computer science and technology, people's everyday life is more and more relative to computer. From realizing the function of simple computing to the function of AI, people's demands become more and more complex. One of the most common requirements is to find information which makes people feel interesting from Internet. Because of the dissatisfactory arrangement and large number of information, people can hardly find the right information. So more and more researches focus on the reasonable arrangement of information and the quick orientation of the right information.This paper puts forward a semantic searching system frame based on Ontology. Through it, information is reasonable arrangement, which is the well basement of searching. In order to get the comprehensive and accurate resources, we filter information through the meaning of words. Considering of the advancement of science and society, the concepts in Ontology also needs renewal. So this paper suggests that Ontology needs automatically renewal according to the requirements of users. But it may cause the problem of dissatisfactory of demand, this paper advises that we need to find a way to return to the old Ontology.This paper analyzes the emphases and difficulties of the realization of system. At first, simple key word searching does not meet the needs of users any more. They may add some conditions to filter the information to get the right answers. Some searching types are put forward through analyzing requirements of users. When a requirement is received, we need to analyze its type instead of directly searching. Then information should be searched according to this type. Secondly, for the automatically renewal of Ontology, the meaning of word is analyzed with WordNet. The information of automatically renewal of Ontology is saved in tables of database, which is the basement of updating the location of concepts in Ontology. But updating Ontology may lead to the inconsistency of Ontology, so the new Ontology needs consistency checking. At last, returning to the old Ontology is realized through tables created in database. These tables record the information of changes in Ontology.Because that analyzing the requirements, updating Ontology and returning to Ontology which is before updating need time, this paper puts forward some suggestions which deal with these problems to optimize system. It reduces the response time at some extent.