期刊文献+

一种关于本体复合映射的挖掘算法 被引量:1

Mining algorithm of complex ontology mapping
下载PDF
导出
摘要 为了提高本体映射的精度,往往需要同时考虑1∶1、1∶n、n∶m等多种不同的情况。而对于以往的映射算法而言,它们主要考虑了简单的1∶1的映射,忽略了同样重要并占据相当比例的复合映射问题,这样极大地损失了本体映射的精度。针对这个问题,提出了一个基于多种关系的复合映射发现算法。实验证明,该算法在对本体复合映射的发现问题上非常有效,而且极大地提高了映射结果的精度。 In order to improve the accuracy of ontology mapping, it always needed to consider multiple different mapping conditions, for example 1:1 ,1: n,n: m. As for existed ontology mapping methods, focused on the simple one to one mapping, while the problem of the complex mapping which also took important seats had been neglected. Aiming at solving the loss of mapping precision, this paper proposed a new complex mapping method based on multiple relationships. Experiment results show good efficiency of the method.
作者 黎明
出处 《计算机应用研究》 CSCD 北大核心 2009年第5期1723-1725,共3页 Application Research of Computers
关键词 本体 本体映射 复合映射 ontology. ontology mapping complex mapping
  • 相关文献

参考文献6

  • 1DRAGUT E, LAWRENCE R. Composing mappings between schemas using a reference ontology[ C ]//Proc of Intemational Conference on Ontologies, Databases and Applications of Semantics. 2004:783- 800. 被引量:1
  • 2DHAMANKAR R, LEE Y, DOAN A H, et al. iMAP:discovering complex semantic matches between database schemas [ C ]//Proc of the 23th ACM SIGMOD International Conference on Management of Data. New York : ACM Press, 2004:383- 394. 被引量:1
  • 3TANG Jie, LIANG Bang-yong, LI Juan-zi ,et al. Risk minimization based ontology mapping[ C]//Proc of Advanced Workshop on Content Computing. Berlin : Springer, 2004:469-480. 被引量:1
  • 4HE Bin, KEVIN C C C. Automatic complex schema matching across Web query interfaces: a correlation mining approach [ J ]. AGM Trans on Database Systems, 2006,31 ( 1 ) : 1-4.5. 被引量:1
  • 5曹泽文,钱杰,张维明,邓苏.一种综合的概念相似度计算方法[J].计算机科学,2007,34(3):174-175. 被引量:35
  • 6LIN De-kang. An information-theoretic definition of similarity [ C ]// Proc of the 15th International Conference on Machine Learning. San Framcisco: Morgan Kaufmann Publishers, 1998:296- 304. 被引量:1

二级参考文献7

  • 1范明 孟小峰.数据挖掘概念与技术[M].北京:机械工业出版社,2001.. 被引量:64
  • 2Doan A H.Learning to Map between Structured Representations of Data:[Ph thesis].University of Washington,2002 被引量:1
  • 3Noy N,Musen M.PROMPT:Algorithm and Tool for Automated Ontology Merging and Alignment.In:Proc.AAAI2000.AAAI Press,2000 被引量:1
  • 4Noy N F,Musen M A.SMART:Automated support for ontology merging and alignment[J].In:Twelth Workshop on Knowledge Acquisition,Moeling,and Management,Banff,Canada,1999 被引量:1
  • 5Dou D,McDermott D,Qi P.Ontology Translation by Ontology Merging and Automated Reasoning:[Ph thesis].University of Yale.2004 被引量:1
  • 6Kong C Y,Wang C L,Lau F C M.Ontology Mapping in Pervasive Computing Environment.URL.http://www.csis.hku.hk/~clwang/papers/EUC2004-1aurel.pdf 被引量:1
  • 7蔡自兵,徐光佑.人工智能及其应用.清华大学出版社,2001 被引量:1

共引文献34

同被引文献11

引证文献1

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