Research And Realization On Text Similarity Base On Ontology

At present , with the rapid development of information technology ,there are more requirements of accessing different types of information. The traditional tools of information retrieval can only offer imports based on key words. But most time only key words can't express the real demands of the users. This becomes one of the reasons which make the retrieval systems can't return the accurate results. To advance the information retrieval system, the transfer from the retrieval technology based on key words to the new version based on knowledge or concept should be accomplished. Intellectualized information retrieval system and the semantically based way of managing information should be noticed.Ontology as the new concept to describe the semantic hierarchy of knowledge has been widely used in different fields. The information retrieval methods combined with ontology cannot only emphasize the advantages of knowledge-based retrieval but also deal with the relationships between the various concepts. Though the research of ontology is just at the beginning, the application of ontology in information retrieval and semantic Web will be the focus in this field.This paper proposes and realizes algorithm of text similarity base on ontology that combines concept similarity base on ontology with text similarity. It makes use of ontology to computation similarity of key word in sentence and other words are computed by traditional similarity algorithm.The algorithm is applicated to search engineer and this system use fruit ontology. From experiment results, the algorithm make sure that validly extend search range and has more accurate results. The system can combine with traditional retrieval technology, support semantic and advance performance.