Semantic Management Information Modeling based on Theory of Concept Lattices

Автор: Hui Xu, Chunzhi Wang, Hongwei Chen, Zhiwei Ye

Журнал: International Journal of Modern Education and Computer Science (IJMECS) @ijmecs

Статья в выпуске: 2 vol.2, 2010 года.

Бесплатный доступ

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.

Еще

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

Короткий адрес: https://sciup.org/15010058

IDR: 15010058

Текст научной статьи Semantic Management Information Modeling based on Theory of Concept Lattices

Published Online December 2010 in MECS

  • I.    Introduction

    Since US government declared the startup of Next Generation Internet (NGI) [1] plan in 1996, aiming to study basic theories for new generation computer information networks and establish a brand-new Internet architecture, there is an increasing interest by research and industry in future Internet and its management. In the USA, there are initiatives like Future Internet Design (FIND) [2] and Globe Environment for Network Innovation (GENI) [3]. In Europe, there is the Future Internet Research and Experimentation (FIRE) [4] program. And in China, there is the China Next Generation Internet (CNGI) [5] project.

As an important research area, network management should be an indispensable part for the design of future Internet, instead of being a post-accession function in the traditional sense. As to future Internet, network management deals with not only existing conventional managed objects but also new ones including content and context, while the interoperability problem of multiple network management domains becomes more prominent.

Meanwhile, there is an urgent need to address two main problems of information modeling in the field of network management, which are the lack of conformance and low level of formalization. Hence, it is of great

This paper is an extended version of the conference paper titled A Granular Computing View for Unified Information Modeling in Network Management Domain published by CNMT2010.

significance to study how to realize unified management information modeling, in order to avoid a lot of repetitive work and standardize information modeling for the sack of network management domain.

On the syntax level, management information can not make full use of all the functions and expressive abilities of regulated information specification languages, lacking semantic understandings. In most cases, it is quite essential to study information mediation for network management. And the main reason for this is that, the problem of semantic interoperability is not well solved during the process of developing useful abstractions for physical and logical features of network entities by current network management standards.

Recently, studies on semantic interoperability for network management information and its specification usually focus on ontology. Ontology [6] [7] plays an important role in Semantic Web, and the most general definition of ontology may be that, an ontology is an explicit and formal specification of a shared conceptualization . It may be quite useful to apply ontology description languages such as Web Ontology Language (OWL) [8] for special management information mediation problems. However, when describing general management information and their relations by methods in virtue of special languages, it may possibly lack essential systematization and feasibility, not to mention the building of a unified framework.

Philosophically speaking, permanent relationship of Managed Objects (MOs) is always described by not-lasting terms, such as OWL. The fact is that, these terms reflect not only the characteristics of the times but also the fashion of the designers or a particular organization. Furthermore, the structure described by syntax and the one revealed by metaphysics are consistent. In other words, the latter one is just a reconstruction of the former one. One example for this kind of relationship is a Management Information Base (MIB) definition and the corresponding MIB tree. Thus in this case, theory of concept lattices is introduced to network management domain for the purpose of semantic information modeling in a unified manner.

The remainder of this paper is organized as follows. Section II presents related work. Section III establishes an ontology-driven framework for semantic management information modeling. Section IV builds unified management information modeling ontology based on concept lattices. Section V discusses the solution for generating semantic models for network management information modeling using the theory of concept lattices. Section VI concludes this paper and prospects future work.

  • II.    Related Work

Taking the problem of unified information modeling for network management into consideration, current studies are generally divided into two main directions.

  • A.    Proposal of a Unified Standard

One direction for unified information modeling in the field of network management is to propose a unified standard, such as SMIng [9] suggested by Internet Research Task Force (IRTF), YANG [10] by Internet Engineering Task Force (IETF), Common Information Model (CIM) [11] by Distributed Management Task Force (DMTF), and so on.

Especially, Reference [12] argues that, the development of information models for important element types may do favor to managers for the access of standard managed objects through a standardized style.

  • B.    Integration in a Unified Manner

Список литературы Semantic Management Information Modeling based on Theory of Concept Lattices

  • NGI Program. Available: en.wikipedia.org/wiki/Next_Generation_Internet_Program
  • Future Internet Design. Available: www.nets-find.net
  • Globe Environment for Network Innovation. Available: www.geni.net
  • Future Internet Research and Experimentation. Available: cordis.europa.eu/fp7/ict/fire
  • China NGI. Available: en.wikipedia.org/wiki/China_Next_Generation_Internet
  • T. R. Gruber. A Translation Approach to Portable Ontology Specifications. Knowledge Acquisition, Vol. 5, No. 2, pp. 199-220, 1993
  • 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
  • P. E. Patel-Schneider, P. Hayer, I. Horrocks eds. OWL Web Ontology Language Overview. W3C Recommendation, 2004
  • F. Strauss, J. Schönwälder. SMIng - Next Generation Structure of Management Information. RFC3780, 2004
  • M. Bjorklund ed. YANG - A Data Modeling Language for the Network Configuration Protocol (NETCONF). RFC6020, 2010
  • Common Information Model. Available: http://dmtf.org/standards/cim
  • A. Pilz, J. Swoboda. Network Management Information Models. International Journal of Electronics and Communications, Vol. 58, pp. 165-171, 2004
  • I. Horrocks etc eds. SWRL: A Semantic Web Rule Language Combining OWL and RuleML, W3C Member Submission, 2004
  • D. Martin ed. OWL-S: Semantic Markup for Web Services, W3C Member Submission, 2004
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • Y. Y. Yao. Perspectives of Granular Computing. Proceedings of 2005 IEEE International Conference on Granular Computing, Vol. 1, pp. 85-90, 2005
  • 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
  • A. Pras et al. Key Research Challenges in Network Management. IEEE Communications Magazine, Vol. 45, No. 10, pp. 104-110, 2007
  • B. Ganter, R. Wille. Formal Concept Analysis: Mathematical Foundations. Berlin: Springer, 1999
  • 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
  • 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
  • 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
  • G. Stumme, A. Maedche. FCA-Merge: Bottom-Up Merging of Ontologies. Proceeding of 17th International Joint Conference on Artificial Intelligence, pp. 225-230, 2001
  • 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
Еще
Статья научная