DocumentCode :
3306104
Title :
Research on Ontology-Based Semantic Similarity Computation
Author :
Zhang, Ye ; Yu, Zhan-lin
Author_Institution :
Sch. of Bus., Bohai Univ., Jinzhou, China
fYear :
2010
fDate :
24-25 April 2010
Firstpage :
472
Lastpage :
475
Abstract :
This paper we present a method for computing similarity between different concepts. Ontology has the good hierarchical structure of concepts and the support of logical reasoning, and semantic information can be realized through the semantic relationship of concepts. Ontology technology can be well applied to information retrieval. Ontology-based information retrieval is different from the traditional keyword search. Semantic retrieval can be realized because Ontology knowledge base strengthens the intrinsic link of the concepts and the implied and unclear information can be deduced through logical reasoning. Our results show that the general framework is feasible and this method is applicable across different concepts.
Keywords :
Application software; Artificial intelligence; Computer interfaces; Computer vision; Information retrieval; Keyword search; Machine vision; Man machine systems; Ontologies; Software engineering; concepts similarit; ontology; semantic retrieval; semantic similarity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Vision and Human-Machine Interface (MVHI), 2010 International Conference on
Conference_Location :
Kaifeng, China
Print_ISBN :
978-1-4244-6595-8
Electronic_ISBN :
978-1-4244-6596-5
Type :
conf
DOI :
10.1109/MVHI.2010.33
Filename :
5532640
Link To Document :
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