Automatic Searching Method Based on Domain Taxonomy Ontology

Recently, how to utilize information that is stored in hundreds of millions of databases effectively, especially on the Web, has received increasing attention. It relates to many fields such as data mining, search engine and massive data processing. In order to improve methods which are limited in finding the relationship between conceptions of terms from different information sources manually, this paper describes an automatic searching method that can be used to integrate and unify access to bottom information sources, it also provides a method which can build the relation automatically. Based on this method, users can receive either exact answer or estimative answer through two translation processes, and we will analyze an instance to prove it. In particular, we propose an extra recommendatory answer to represent the transverse relation between different information sources.