loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
2006 IEEE Asia-Pacific Conference on Services Computing (APSCC'06)
Fuzzy Similarity from Conceptual Relations
Guangzhou, Guangdong, China
December 12-December 15
ISBN: 0-7695-2751-5
ASCII Text
x 
 
Ling Song, Jun Ma, Li Lian, Zhumin Chen, "Fuzzy Similarity from Conceptual Relations," Asia-Pacific Conference on Services Computing. 2006 IEEE, pp. 3-10, 2006 IEEE Asia-Pacific Conference on Services Computing (APSCC'06), 2006.
 
 
BibTex
x
 
@article{ 10.1109/APSCC.2006.58,
author = {Ling Song and Jun Ma and Li Lian and Zhumin Chen},
title = {Fuzzy Similarity from Conceptual Relations},
journal ={Asia-Pacific Conference on Services Computing. 2006 IEEE},
volume = {0},
year = {2006},
isbn = {0-7695-2751-5},
pages = {3-10},
doi = {http://doi.ieeecomputersociety.org/10.1109/APSCC.2006.58},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Asia-Pacific Conference on Services Computing. 2006 IEEE
TI - Fuzzy Similarity from Conceptual Relations
SN - 0-7695-2751-5
SP3
EP10
A1 - Ling Song,
A1 - Jun Ma,
A1 - Li Lian,
A1 - Zhumin Chen,
PY - 2006
KW - null
VL - 0
JA - Asia-Pacific Conference on Services Computing. 2006 IEEE
ER -
 
Ling Song, Shandong University, China
Jun Ma, Shandong University, China
Li Lian, Shandong University, China
Zhumin Chen, Shandong University, China
Semantic similarity between concepts supported by the use of ontology plays a prominent role in the concept of the semantic level to provide semantic information for web services discovery and composition. In this work we consider ontology as knowledge structure that specifies concepts and their semantic relations. And we propose a fuzzy similarity measure for not only atomic concepts with inclusion relation but also complex concepts with semantic relation. This fuzzy similarity measure has property of weak fuzzy similarity relation, which conquers existing limitations of equivalence relation. Furthermore, this fuzzy similarity measure based on shared information content could reflect latent semantic relation of concepts better than ever.
Citation:
Ling Song, Jun Ma, Li Lian, Zhumin Chen, "Fuzzy Similarity from Conceptual Relations," apscc, pp.3-10, 2006 IEEE Asia-Pacific Conference on Services Computing (APSCC'06), 2006
Usage of this product signifies your acceptance of the Terms of Use.