NDLI: Approximate information retrieval for heterogeneity ontologies

Content Provider	IEEE Xplore Digital Library
Author	Dazhou Kang Baowen Xu Jianjiang Lu Keyue Li Chu, W.C. Hanwu Chen
Copyright Year	2005
Description	Author affiliation: Dept. of Comput. Sci. & Eng., Southeast Univ., Nanjing (Dazhou Kang; Baowen Xu; Jianjiang Lu; Keyue Li)
Abstract	Ontology-based information retrieval is precise and effective but suffers from the problem of ontology heterogeneity. This paper focuses on the approximate information retrieval approach to solve the heterogeneity problem of both common ontologies as well as fuzzy ontologies on the semantic Web. Approximate information retrieval needs to find approximations of concepts. However, current methods cannot find the best approximations of concepts for common ontologies, and there is still no published work for fuzzy ontologies. This paper firstly proposes a method of approximate information retrieval between common ontologies. It defines multielement least upper bounds and multielement greatest lower bounds, and then simplifies the multielement bounds to remove redundancy. It provides effective algorithms to find the simplified multielement bounds, and get the best approximations of concepts from the bounds. Then for the fuzzy ontologies, the paper defines cut concepts to transform fuzzy concepts into common concepts, and then applies the proposed method for approximate information retrieval between fuzzy ontologies. The improved algorithms for fuzzy ontologies are given to make the method more feasible and effective
Starting Page	6
Ending Page	544
File Size	235941
Page Count	539
File Format	PDF
ISBN	0769523781
DOI	10.1109/CW.2005.20
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-11-23
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Information retrieval Ontologies Computer science Upper bound Information systems Software quality Laboratories Educational technology Electronic mail Computer science education
Content Type	Text
Resource Type	Article

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