Search Intention Recognition Based On Ontology Reasoning

As data on Internet is increasing endlessly every day, getting information we need is more and more difficult. At the same time, we hope Search Engine provide different types of search. Queries which are sent by users represent user intention, if we identify user intention, search quality would be improved dramatically. Search engines have been developed based on key word strategy for a very long time, computer which connect to Internet doesn’t understand user intention on a semantic level. In order to change this situation, we proposed Semantic Web in which computer understand what they stand for and connection between each other semantically and ontology reasoning technology which apply on Semantic Web can dig out more invisible knowledge.In this paper, National encyclopedia search system which based on ontology reasoning will be used to apply semantic web technology into searching technology and make computer understand what resource is semantically. SWRL rules also will be used to execute reasoning system, National encyclopedia ontology system are developed by protege tools. In this experiment, it shows ontology reasoning technology brings a new way for search technology development.Problems exist in ontology reasoning technology are discussed in the later of this paper. This experiment is proved to be capable of improving the quality of searching engine, will be the future development direction of search technology.