期刊文献+

基于SWRL元模型的本体公理建模方法 被引量:5

Modeling Method for Ontology Axioms Based on SWRL Metamodel
下载PDF
导出
摘要 针对传统SWRL元模型难以表达规则前件中OWL类实例的问题,提出改进的元模型,采用逻辑运算符连接并区分规则的UML模型中不同的OWL属性和OWL类的实例。为规则设计了基于UMLprofile的建模机制。通过引入horn短句集、描述逻辑等知识表示方式,论证了用描述逻辑对部分基于UML建模的规则形式化的可行性,并给出基于描述逻辑对其形式化的方法。 The traditional UML metamodel of SWRL is difficult to express individuals of OWL class in antecedents of rules. To solve this problem,this paper represents an improved metamodel,using boolean operator to connect and to distinguish OWL properties and individuals of different OWL classes in a UML model of rules. A method to model rules with UML profile is represented. For a part of rules modeled by UML,the feasibility of formalizing them into description logics is proved,and a technique to realize that is represented.
作者 王小龙 李明
出处 《计算机工程》 CAS CSCD 北大核心 2010年第2期53-55,共3页 Computer Engineering
基金 甘肃省自然科学基金资助项目(0803RJZA025) 甘肃省教育厅科研基金资助项目(0803-07)
关键词 本体 统一建模语言 元模型 规则 ontology Unified Modeling Language(UML) metamodel rules
  • 相关文献

参考文献4

  • 1钟凌燕,陈岗.OWL DL的UML建模方法[J].计算机工程,2006,32(21):58-60. 被引量:6
  • 2Horrocks I, Boley H. SWRL: A Semantic Web Rule Language Combining OWL and RuleML[EB/OL]. (2004-05-20). http://www. w3c.org/Submission/2004/SUBM-SWRL-20040521/.
  • 3Brockmans S, Haase P. A Metamodel and UML Profile for Rule-extended OWL DL Ontologies[C]//Proc. of the 3rd Annual European Semantic Web Conference. [S. l.]: Springer-Verlag, 2006: 303-316.
  • 4苏依拉 ,郑磊 ,刘椿年 ,钟宁 ,LIU Jiming .基于OWL和Horn子句的β-PSML语言框架[J].计算机工程,2005,31(23):65-66. 被引量:3

二级参考文献11

  • 1BoochG RumbaughJ JacobsonI 邵维忠 译.UML用户指南[M].北京:机械工业出版社,2001..
  • 2Zhong N, Yao Y, Liu J, et al. Web Intelligence: Research and Development. First Asia-Pacific Conference, WI 2001, Maebashi City, Japan, Proceedings. Springer, 2001-10-23.
  • 3Zhong N. Towards Web Intelligence[C]. Advances in Web Intelligence.Ruiz E M, Segovia J, Szczepanik P S, Eds, Lecture Notes in Artificial Intelligence 2663, Springer, 2003:1-14.
  • 4Liu J. Web Intelligence (WI): What Makes Wisdom Web? In: Proc. of Eighteenth International Joint Conference on Artificial Intelligence,IJCAI-03, 2003, 1596-1601.
  • 5Borgida A. On the Relative Expressiveness of Description Logics and Predicate Logics. Artificial Intelligence, 1996, 82(1-2):353-367.
  • 6McGuinness D, Harmelen F. OWL Web Ontology Language Overview,W3C Recommendation. http://www.w3.org/TR/2004/REC-owl- feat ures- 20040210/.
  • 7Djuric D,Gasevic D,VIadan D.Ontology Modeling and MDA[J].Journal of Object Technology,2005,4(1).
  • 8McGuinness D L,Harmelen F V.OWL Web Ontology Language Overview Technical Report[EB/OL].http://www.w3.org/TR/owl-features/,2003.
  • 9Malik A.使用 UML 设计 XML 模式[EB/OL].http://www-128.ibm.com/developerworks/cn/xml/x-umlschem/index.html,2003.
  • 10W3C.OWL Web Ontology Language Guide Recommendation.World Wide Web Consortium[EB/OL].http://www.w3.org/TR/2004/REC-owl-guide-20040210/,2004.

共引文献7

同被引文献43

  • 1陶春,张亮,施伯乐.基于本体的XML数据集成的查询处理[J].计算机研究与发展,2005,42(3):468-477. 被引量:15
  • 2阳东升,张维明,刘忠,朱承.C2组织的有效测度与设计[J].自然科学进展,2005,15(3):349-356. 被引量:43
  • 3刘海滨,李冠宇,刘发军.基于Ontology的信息集成研究综述[J].计算机工程与应用,2005,41(25):159-161. 被引量:17
  • 4仇宏祥,王康元.能量管理系统数据CIM导出的实现[J].继电器,2006,34(1):66-70. 被引量:4
  • 5国家电网公司.智能变电站技术导则[S].北京:[出版者不详],2009.
  • 6Liu Shuang,Liu Fang,Yu Clement.An Effective Approach to Document Retrieval via Utilizing WordNet and Recognizing Phrases[C] //Proc.of the 27th Annual International Conference on Research and Development in Information Retrieval.Sheffield,UK:[s.n.] ,2004.
  • 7Wu Zhibiao,Palmer M.Verb Semantics and Lexical Selection[C] //Proc.of the 32nd Annual Meeting of the Associations for Computational Linguistics.Las Cruces,USA:[s.n.] ,1994.
  • 8Fellbaum C.WordNet:An Electronic Lexical Database[M].Cambridge,Massachusetts,USA:The MIT Press,1998.
  • 9Staab S,Werthner H,Knoblobk C,et al.Intelligent Systems for Tourism[J].IEEE Intelligent Systems,2002,17(6):53-66.
  • 10Revuri S,Upadhyaya R S,Kumar P S.Using Domain Ontologies for Efficient Information Retrieval[C] //Proc.of the 13th International Conference on Management of Data.Delhi,India:[s.n.] ,2006.

引证文献5

二级引证文献61

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