DocumentCode
3539236
Title
Measuring taxonomic relationships in ontologies using lexical semantic relatedness
Author
Wu, Fang ; Lu, Zhao ; Yan, Yu ; Gu, Junzhong
Author_Institution
Dept. of Comput. Sci. & Technol., East China Normal Univ., Shanghai, China
fYear
2009
fDate
4-6 Aug. 2009
Firstpage
784
Lastpage
789
Abstract
In this paper, we propose a new measure framework for evaluating taxonomy relationships in ontologies using lexical semantic relatedness. First, we suggest a new quantitative measure model for WordNet, the model can be used to compute the semantic relatedness of concepts in ontologies. Next, according to the relativities of concepts, we describe the way to estimate the classification consistency of all concepts in ontologies, moreover we use taxonomy scores to evaluate taxonomy relationships in ontologies. As a part of this research, we have applied our approach in evaluating the taxonomy relationships in SWE domain ontology, and the research shows our approach is effective. Other experiments show that our measure framework gets better performance than exiting approaches in identifying consistency of taxonomic relationship in ontologies.
Keywords
ontologies (artificial intelligence); pattern classification; Shanghai World Expo domain ontology; WordNet; classification consistency estimation; lexical semantic relatedness; ontologies; quantitative measure model; taxonomic relationship measurement; Computational linguistics; Computer science; Contracts; Error correction; Knowledge engineering; Machine assisted indexing; Natural language processing; Ontologies; Pressing; Taxonomy;
fLanguage
English
Publisher
ieee
Conference_Titel
Applications of Digital Information and Web Technologies, 2009. ICADIWT '09. Second International Conference on the
Conference_Location
London
Print_ISBN
978-1-4244-4456-4
Electronic_ISBN
978-1-4244-4457-1
Type
conf
DOI
10.1109/ICADIWT.2009.5273860
Filename
5273860
Link To Document