DocumentCode :
1929280
Title :
Research on Ontology-Based Measuring Semantic Similarity
Author :
Guisheng, Yin ; Qiuyan, Sheng
Author_Institution :
Coll. of Comput. Sci. & Technol., Harbin Eng. Univ., Harbin
fYear :
2008
fDate :
28-29 Jan. 2008
Firstpage :
250
Lastpage :
253
Abstract :
Ontology is an explicit specification of a conceptualization on semantic and knowledge. This paper presents a formal definition on ontology and gives an example. Then, a method to measuring semantic similarity is presented. Semantic similarity is divided into concept similarity and description similarity. A calculation of semantic similarity between concepts in ontology is presented by the hierarchy of ontology concepts. To make the calculation of semantic similarity between concepts more similar to human´s subjective judgment, semantic similarity is divided into concept similarity and description similarity; the final semantic similarity is produced by merging concept similarity and description similarity. Finally, the optimized parameter settings are gained through the experiment results.
Keywords :
ontologies (artificial intelligence); semantic Web; concept similarity; description similarity; explicit specification; ontology-based measuring semantic similarity; semantic similarity; Computer science; Educational institutions; Information processing; Internet; Knowledge engineering; Libraries; Merging; Ontologies; Search methods; Semantic Web; concept similarity; description similarity; semantic similarity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Internet Computing in Science and Engineering, 2008. ICICSE '08. International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-0-7695-3112-0
Electronic_ISBN :
978-0-7695-3112-0
Type :
conf
DOI :
10.1109/ICICSE.2008.42
Filename :
4548267
Link To Document :
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