Title :
Measurement of arc-value for concept similarity
Author :
Hwang, Myunggwon ; Yi, Hongryoul ; Choi, Chang ; Baek, Sunkyoung ; Kim, Pankoo
Author_Institution :
Dept. of Comput. Eng., Chosun Univ., Gwangju
Abstract :
The ultimate aim of this paper is for semantic information retrieval. Especially, we concentrate on measure of concept similarity. There are 9 kinds of relation (arc) in WordNet to define concepts and we have a motive from that a value of each arc is different up to kind of relation. So, this paper first makes a fundamental for the value of relation between concepts. And we measure the arc-value based on the fundamental and calculate concept similarity using the value.
Keywords :
information retrieval; semantic Web; WordNet; arc-value measurement; concept similarity; semantic information retrieval; Cybernetics; Density measurement; Dictionaries; Equations; Information retrieval; Learning systems; Machine learning; Machine learning algorithms; Semantic Web; Terminology; Information content; Semantic Web; Similarity measure; WordNet;
Conference_Titel :
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-2095-7
Electronic_ISBN :
978-1-4244-2096-4
DOI :
10.1109/ICMLC.2008.4621064
