Semantic Management Information Modeling based on Theory of Concept Lattices

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Author(s)

Hui Xu 1,* Chunzhi Wang 1 Hongwei Chen 1 Zhiwei Ye 1

1. School of Computer Science, Hubei University of Technology, Wuhan, China

* Corresponding author.

DOI: https://doi.org/10.5815/ijmecs.2010.02.07

Received: 24 Aug. 2010 / Revised: 12 Sep. 2010 / Accepted: 5 Nov. 2010 / Published: 8 Dec. 2010

Index Terms

Network management, unified information modeling, semantic interoperability, ontology, concept lattices, formal concept analysis

Abstract

With the development of future Internet, it is of great significance to study how to realize unified management information modeling, in order to avoid a lot of repetitive work and standardize information modeling in network management domain. This paper discusses the problem from the ontology point of view and introduces the theory of concept lattices into the research on semantic management information modeling, which includes a) establishing an ontology-driven framework for semantic management information modeling, b) building unified management information modeling ontology based on concept lattices, and c) generating semantic models for network management information modeling using the theory of concept lattices.

Cite This Paper

Hui Xu, Chunzhi Wang, Hongwei Chen, Zhiwei Ye, "Semantic Management Information Modeling based on Theory of Concept Lattices", International Journal of Modern Education and Computer Science(IJMECS), vol.2, no.2, pp.46-52, 2010. DOI:10.5815/ijmecs.2010.02.07

Reference

[1]NGI Program. Available: en.wikipedia.org/wiki/Next_Generation_Internet_Program
[2]Future Internet Design. Available: www.nets-find.net
[3]Globe Environment for Network Innovation. Available: www.geni.net
[4]Future Internet Research and Experimentation. Available: cordis.europa.eu/fp7/ict/fire
[5]China NGI. Available: en.wikipedia.org/wiki/China_Next_Generation_Internet
[6]T. R. Gruber. A Translation Approach to Portable Ontology Specifications. Knowledge Acquisition, Vol. 5, No. 2, pp. 199-220, 1993
[7]T. R. Gruber. Towards Principles for the Design of Ontologies Used for Knowledge Sharing. International Journal of Human-Computer Studies, Vol. 43, No. 5/6, pp. 907-928, 1995
[8]P. E. Patel-Schneider, P. Hayer, I. Horrocks eds. OWL Web Ontology Language Overview. W3C Recommendation, 2004
[9]F. Strauss, J. Schönwälder. SMIng - Next Generation Structure of Management Information. RFC3780, 2004
[10]M. Bjorklund ed. YANG - A Data Modeling Language for the Network Configuration Protocol (NETCONF). RFC6020, 2010
[11]Common Information Model. Available: http://dmtf.org/standards/cim
[12]A. Pilz, J. Swoboda. Network Management Information Models. International Journal of Electronics and Communications, Vol. 58, pp. 165-171, 2004
[13]I. Horrocks etc eds. SWRL: A Semantic Web Rule Language Combining OWL and RuleML, W3C Member Submission, 2004
[14]D. Martin ed. OWL-S: Semantic Markup for Web Services, W3C Member Submission, 2004
[15]J. E. López de Vergara, V. A. Villagrá, J. Berrocal, J. I. Asensio, R. Pignaton. Semantic Management: Application of Ontologies for the Integration of Management Information Models. Proceeding of 8th IFIP/IEEE International Symposium on Integrated Network Management, pp. 131-134, 2003
[16]J. E. López de Vergara, V. A. Villagrá, J. I. Asensio, J. Berrocal. Ontologies: Giving Semantics to Network Management Models. IEEE Network, Vol. 17, No. 3, pp. 15-21, 2003
[17]J. E. López de Vergara, V. A. Villagrá. Applying the Web Ontology Language to Management Information Definitions. IEEE Communications Magazine, Vol. 42, No. 7, pp. 1-7, 2004
[18]H. Xu, D.B. Xiao. A Common Ontology-based Intelligent Configuration Management Model for IP Network Devices. Proceeding of 1st International Conference on Innovative Computing, Information and Control, pp. 385-388, 2006
[19]D.B. Xiao, H. Xu. An Integration of Ontology-based and Policy-based Network Management for Automation. CD-ROM Proceeding of 2006 Computational Intelligence for Modelling, Control and Automation, pp. 27, 2006
[20]H. Xu, D.B. Xiao. Applying Semantic Web Services to Automate Network Management. CD-ROM Proceeding of 2nd IEEE Conference on Industrial Electronics and Applications, IEEE Press, pp. 461-466, 2007
[21]B. Grand, M. Soto. Navigation in Huge Information Hierarchies Applications to Network Management. Proceeding of 1999 Workshop on New Paradigms in Information Visualization and Manipulation in conjunction with 8th ACM International Conference on Information and Knowledge Management, pp. 56-61, 1999
[22]A. Wong, P. Ray, N. Parameswaran, J. Strassner. Ontology Mapping for the Interoperability Problem in Network Management. IEEE Journal on Selected Areas in Communications, Vol. 23, No. 10, pp. 2058-2068, 2005
[23]Y. Y. Yao. Perspectives of Granular Computing. Proceedings of 2005 IEEE International Conference on Granular Computing, Vol. 1, pp. 85-90, 2005
[24]Y. Y. Yao. The Art of Granular Computing. Proceeding of 2007 International Conference on Rough Sets and Emerging Intelligent Systems Paradigms, Lecture Notes in Artificial Intelligence, Vol. 4585, pp. 101-112, 2007
[25]A. Pras et al. Key Research Challenges in Network Management. IEEE Communications Magazine, Vol. 45, No. 10, pp. 104-110, 2007
[26]B. Ganter, R. Wille. Formal Concept Analysis: Mathematical Foundations. Berlin: Springer, 1999
[27]P. Cimiano, A. Hotho, G. Stumme, J. Tane. Conceptual Knowledge Processing with Formal Concept Analysis and Ontologies. Proceeding of 2rd International Conference on Formal Concept Analysis, pp. 189-207, 2004
[28]H. Xu, D. B. Xiao. Building Information Specification Ontology for Computer Network Management based on Formal Concept Analysis. Proceeding of 2009 IEEE International Conference on Information and Automation, pp. 312-317, 2009
[29]H. Xu, D. B. Xiao. Visualization-based Study on Information Specification Languages for Network Management using Formal Concept Analysis. Communications in Computer and Information Science, Vol. 71, pp. 19-30, 2010
[30]G. Stumme, A. Maedche. FCA-Merge: Bottom-Up Merging of Ontologies. Proceeding of 17th International Joint Conference on Artificial Intelligence, pp. 225-230, 2001
[31]K. Souza, J. Davis. Aligning Ontologies through Formal Concept Analysis. Proceeding of 6th International Conference on Information Integration and Web-Based Applications and Services, pp. 123-132, 2004