Constructing Domain Ontology of E-Business Based on Rough Concept Lattices

Article Preview

Abstract:

Variable precision rough set (VPRS) model and formal concept analysis are studied in this paper, include algorithm of reduction attribute and extraction rule. The traditional algorithms about attribute reduction based on discernibility matrix and extraction rule in VPRS are discussed, there are problems in these traditional algorithms which are improved. Rough concept lattice model is proposed based on integrating of variable precision rough set model and formal concept analysis, and is used to reduce formal context. The domain ontology model of e-business is built combined with knowledge of domain expert, and original ontology model of the United Nations Standard Products and Services Classification Code by way of core ontology in order to enhance system robustness and efficiency.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 219-220)

Pages:

202-205

Citation:

Online since:

March 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Khushraj, D. and O.Lassila. Ontologieal Approaehto Generating personalized User Interfaces for Web Services.The Semantic Web-ISWC 2005: 4th International Semantc Web Conference, ISWC 2005:916-927.

DOI: 10.1007/11574620_65

Google Scholar

[2] Fensel D. Ontologies:Silver Bullet for Knowledge Management and Electronic Commerce[M]. Springer-Verlag, Berlin , (2000).

Google Scholar

[3] XU Hong-Sheng SHEN Xia-Jiong. Construction and Presentation of Ontology on Semantic Web Based on Formal Concept[J]. Journal of Computer Science, 2007,34(2):171-174.

Google Scholar

[4] Beynon M. Reducts within the variable precision rough sets model: a further investigation[J]. European Journal of Operational Research, 2001,134:592-605.

DOI: 10.1016/s0377-2217(00)00280-0

Google Scholar