NDLI: A novel similarity evaluating model based on RFCA and ICS

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A novel similarity evaluating model based on RFCA and ICS

Content Provider	IEEE Xplore Digital Library
Author	Chongyang Shi Zhendong Niu
Copyright Year	2010
Description	Author affiliation: School of Computer Science, Beijing Institute of Technology (Chongyang Shi; Zhendong Niu)
Abstract	In this paper, a similarity evaluating model based on rough formal concept analysis and information content similarity is proposed which evaluates the similarity degree between the concepts. We use the information content approach to automatically obtain part of similarity scores of two concepts which makes up the normal featural and structural evaluating models. Then through our model, the similarity of two concepts can be directly calculated from the lower object approximations and lower attribute approximations based on the rough formal concept analysis. An extensive experimental evaluation on two real datasets shows that when adjusting the influence from the object to certain degree, it outperforms other related works.
Starting Page	114
Ending Page	119
File Size	226499
Page Count	6
File Format	PDF
ISBN	9781424475728
e-ISBN	9781424475735
DOI	10.1109/ICDIM.2010.5664235
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-05
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Context Databases Computational modeling Semantics Lattices Approximation methods Integrated circuit modeling
Content Type	Text
Resource Type	Article

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