期刊文献+

基于MIB构建网络管理领域本体方法研究

Research of Constructing Network Management Domain Ontology Based on MIB
下载PDF
导出
摘要 为了解决用统一语义模型描述网络管理信息的问题,通过研究网络管理模型和本体构建方法,提出一种由管理信息库MIB构建网络管理领域本体方法。该方法在半结构化管理信息库定义文本中采用映射和关联规则方法,构建本体的类、关系和公理。通过实验验证了该方法可行性。 To solve the problem of the network management information described in a unified semantic model, through researching network management model and ontology constructing method, an approach of network management domain ontology built by management information base(MIB) was proposed. The approach constructed classes, relations and axioms of ontology by the technologies of mapping and association rules in the semi-structural definition text of MIB. Finally, through experimental validation, the result shows the approach is feasible.
作者 周宁 蒋廷耀
出处 《计算机与数字工程》 2009年第10期4-7,共4页 Computer & Digital Engineering
基金 湖北省自然科学基金项目-面向移动Ad hoc网络入侵检测的数据挖掘技术研究项目(编号:2007ABA327)资助
关键词 本体 WEB本体语言 网络管理 管理信息库 ontology Web ontology language network management management information base
  • 相关文献

参考文献8

  • 1IETF. On the Difference between Information Models and Data Models[Z]. RFC3444,2003.
  • 2DMTF. Common Information Model (CIM) Infrastructure 2.4.0a[Z]. DSP00004,2007.
  • 3王春兰,丁颖,王志晓.基于RDF多代理网络管理模型的设计与实现[J].计算机工程与设计,2006,27(4):648-650. 被引量:2
  • 4de Vergara, J. E. L. , Villagra, V. A. , Berrocal, J. Applying the Web Ontology Language to Management Information Definitions [J ]. IEEE Communications Magazine, 2004,42 (7) : 68 - 74.
  • 5Lopez de Vergara, J. E., et, al. Ontologies:Giving Semantics to Network Management Models[C]. IEEE Network, 17(3) : 15-21.
  • 6杜小勇,李曼,王珊.本体学习研究综述[J].软件学报,2006,17(9):1837-1847. 被引量:241
  • 7Michael S, Paul B, Daniel O. A Formalization of Ontology Learning from Text[C]. Proceedings of EON2004 DFKI GmbH, 2004.
  • 8方卫东,袁华,刘卫红.基于Web挖掘的领域本体自动学习[J].清华大学学报(自然科学版),2005,45(S1):1729-1733. 被引量:31

二级参考文献18

  • 1杜波,田怀凤,王立,陆汝占.基于多策略的专业领域术语抽取器的设计[J].计算机工程,2005,31(14):159-160. 被引量:26
  • 2郑家恒,卢娇丽.关键词抽取方法的研究[J].计算机工程,2005,31(18):194-196. 被引量:41
  • 3Jun Shen,Yun Yang.Extending RDF in distributed knowledgeintensive applications[J].Future Generation Computer Systems,2004,20:27-46.
  • 4Jeen roekstra.Enabling knowledge representation on the web by extending RDF schema [J].Computer Networks,2002,39:609-634.
  • 5Hardy Pundt,Yaser Bishr.Domain ontologies for data sharingan example from environmental monitoring using field GIS[J].Computers and Geosciences,2002,28:95-102.
  • 6W3C.RDF primer recommendation[S].http://www.w3.org/TR/rd f-primer/.
  • 7Srikant R,Agrawal R.Mining generalized association rules[].Proc Very Large Data Base.1995
  • 8FANG Weidong,ZHANG Ling,WANG Yanxuan,et al.Toward a semantic search engine based on ontologies[].Proc th Intl Conf Machine Learning and Cybernetics(ICMLC ).2005
  • 9Stumme G,Madche A.FCA-Merge: Bottom-up merging of ontologies[].Proc th Int Conf Artificial Intelligence.2001
  • 10Agirre E,Ansa O,Hovy E,et al.Enriching very large ontologies using the WWW[].Proc st Workshop on Ontology Learning OL’.2000

共引文献263

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部