DocumentCode
531593
Title
WEST: Weighted-Edge Based Similarity Measurement Tools for Word Semantics
Author
Dong, Liang ; Srimani, Pradip K. ; Wang, James Z.
Author_Institution
Sch. of Comput., Clemson Univ., Clemson, SC, USA
Volume
1
fYear
2010
fDate
Aug. 31 2010-Sept. 3 2010
Firstpage
216
Lastpage
223
Abstract
Our recent study discovers that humans are more sensitive to the semantic difference caused by categorization than specification. Based on this new discovery, this paper proposes a novel weighted edge approach embedding the specification levels of both words and their Least Common Ancestor (LCA) into a weighted graph distance by exponentially decreasing the weight along its specification level. Experimental studies show that the similarity value obtained by this new method closely matches human perception. Based on this new method, online tools for word similarity measure are implemented as Web services.
Keywords
Web services; cognition; graph theory; psychology; semantic Web; Web services; categorization; human perception; least common ancestor; semantic difference; weighted graph; weighted-edge based similarity measurement tools; word semantics; semantic web; web service; word similarity;
fLanguage
English
Publisher
ieee
Conference_Titel
Web Intelligence and Intelligent Agent Technology (WI-IAT), 2010 IEEE/WIC/ACM International Conference on
Conference_Location
Toronto, ON
Print_ISBN
978-1-4244-8482-9
Electronic_ISBN
978-0-7695-4191-4
Type
conf
DOI
10.1109/WI-IAT.2010.39
Filename
5616536
Link To Document