Title :
Keywords Retrieval Based on Ontology Inference
Author :
Chen, Guowei ; Zhang, Pengzhou
Author_Institution :
Commun. Univ. of China, Beijing, China
Abstract :
As a conception modeling tool, ontology can describe the information system in the semantic and the knowledge level, it can also express the relations of concepts, the inheritance hierarchy of concepts, potential relationships and axioms precisely, and so on. Meanwhile, it provides a solution for many problems of massive information caused by the rapid development of the Internet, such as how to organize, manage and maintain vast amounts of knowledge information, and provide users with efficient services to access them, also an effective way of sharing and representing knowledge. This paper proposes a keyword retrieval method based on thesaurus and ontology, to solve vary problems between user´s keywords and words used by domain experts to describe the ontology, in order to improve the efficiency and accuracy of retrieval, aiming at combining the general retrieval system and domain ontology effectively.
Keywords :
Internet; inference mechanisms; information retrieval; ontologies (artificial intelligence); thesauri; Internet; concept inheritance hierarchy; concept relation; conception modeling tool; domain ontology; general retrieval system; information system; keywords retrieval method; knowledge level; ontology inference; semantic level; thesaurus; Cognition; Information retrieval; Information systems; Ontologies; Semantics; Standards; Ontology; information retrieval; semantic web; thesaurus;
Conference_Titel :
Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4673-1450-3
DOI :
10.1109/ICICEE.2012.463