NDLI: A Profile Propagation and Information Retrieval Based Ontology Mapping Approach

Content Provider	IEEE Xplore Digital Library
Author	Ming Mao Yefei Peng Spring, M.
Copyright Year	2007
Description	Author affiliation: Univ. of Pittsburgh, Pittsburgh (Ming Mao; Yefei Peng; Spring, M.)
Abstract	Ontology has been used widely to help finding relevant information among distributed and heterogeneous sources. Given that no universal ontology exists for the WWW, ontology mapping attracts many researchers' interest in various areas. In this paper we propose a new generic ontology mapping approach based on profile propagation and information retrieval techniques. The features used to establish the profile of a concept include all lexical information (i.e., its name, label, comments, property restriction, etc.). Profile propagation then is used to integrate structural information by adding the profiles of its ancestors, descendants and siblings to the profile of a concept, with different weights. Afterwards profiles are compared in a vector space model and the most relevant one will be returned as mapping results. A search engine is integrated as profile mapper when the size of ontologies is large. Experimental results show that the proposed approach obtained a good performance in OAEI campaign 2006.
Starting Page	164
Ending Page	169
File Size	207790
Page Count	6
File Format	PDF
ISBN	0769530079
DOI	10.1109/SKG.2007.107
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-10-29
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	System testing Machine learning Ontologies Search engines Information retrieval World Wide Web Frequency Books Web sites Springs
Content Type	Text
Resource Type	Article

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