Using Fuzzy Rough Concept Lattices Merging and Presenting Domain Ontology

Abstract:

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As the foundation of the semantic web, ontology is a formal, explicit specification of a shared conceptual model. It becomes an important problem on ontology application to merg and present ontology. However, there are some defects between several kinds of existing ontology application methods in many aspects. The paper offers a methodology of ontology merging for knowledge sharing and reusing based on fuzzy concept concept lattice union in order to makes up these defects.This paper proposes the means of ontology presenting based on the form of concept lattices visualizing in three-dimensional space. The experimental results indicate that this method has great validity.

Info:

Periodical:

Advanced Materials Research (Volumes 301-303)

Edited by:

Riza Esa and Yanwen Wu

Pages:

384-387

DOI:

10.4028/www.scientific.net/AMR.301-303.384

Citation:

H. S. Xu and L. Wang, "Using Fuzzy Rough Concept Lattices Merging and Presenting Domain Ontology", Advanced Materials Research, Vols. 301-303, pp. 384-387, 2011

Online since:

July 2011

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Price:

$38.00

[1] Berners-Lee T, James Hendler, Ora Lassila.The Semantic Web[J]. Scientific American, 2001, 51.

[2] Yao Y. Y. ,Chen Y H.Rough set approximations in formal concept analysis.In:Proceedings of 2004 Annual Meeting of the North American Fuzzy Information Processing Society(NAFIPS 2004),Dick S,Kurgan L,Pedrycz W. et a1.(F-As), IEEE Catalog Number:04TH8736, 2004, 73-78.

DOI: 10.1109/nafips.2004.1336252

[3] Fridman Noy N, Musen M A. PROMPT: algorithm and tool for automated ontology merging and alignment[C]. In: Proc. AAAI'00, 2000: 450-455.

[4] Alani H, Kim S, et al. Automatic Ontology-Based Knowledge Extraction from Web documents[J]. IEEE Intelligent Systems, 2003, 18(1): 14-21.

DOI: 10.1109/mis.2003.1179189

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