DocumentCode :
3538765
Title :
An Intuitionistic Fuzzy Set Model for Concept Similarity Using Ontological Relations
Author :
Fagui Liu ; Fen Xiao ; Yuedong Lin ; Yang Zhang
Author_Institution :
Sch. of Comput. Sci. & Eng., South China Univ. of Technol., Guangzhou, China
fYear :
2012
fDate :
6-8 Dec. 2012
Firstpage :
319
Lastpage :
324
Abstract :
Semantic similarity between ontological concepts plays an important role in service discovery and composition. In this paper, using the ontological relation, a novel intuitionistic fuzzy set model is proposed to interpret concepts on the ontology with three intuitionistic fuzzy sets of different weights, and an effective similarity measure of which is selected to calculate the concept similarity. The model successfully translates all the semantic information of a concept into mathematical expressions of intuitionistic fuzzy sets, thus concept similarity is easily calculated. It is designed to handle not only simple ontologies where only atomic concepts are presented, but also complex ones where concepts could inherit from multiple concepts and have semantic relations other than is-a with other concepts. The experimental result has shown that the model is effective, and it´s easy to implement.
Keywords :
fuzzy set theory; ontologies (artificial intelligence); intuitionistic fuzzy set model; mathematical expressions; ontological concepts; ontological relations; semantic information; semantic similarity; service composition; service discovery; Computational modeling; Fuzzy set theory; Fuzzy sets; Ontologies; Semantics; Whales; concept similarity; intuitionistic fuzzy set; ontology; semantic web;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Services Computing Conference (APSCC), 2012 IEEE Asia-Pacific
Conference_Location :
Guilin
Print_ISBN :
978-1-4673-4825-6
Type :
conf
DOI :
10.1109/APSCC.2012.27
Filename :
6478235
Link To Document :
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