首页    期刊浏览 2024年12月01日 星期日
登录注册

文章基本信息

  • 标题:Finding Best Probable Combinations of Similarity Measures Using Bayesian Networks
  • 本地全文:下载
  • 作者:Kalpana Nigam ; Monica Mehrotra
  • 期刊名称:International Journal of Computer Science & Technology
  • 印刷版ISSN:2229-4333
  • 电子版ISSN:0976-8491
  • 出版年度:2013
  • 卷号:4
  • 期号:2
  • 页码:395-400
  • 语种:English
  • 出版社:Ayushmaan Technologies
  • 摘要:The objective of establishing alignments between two entities from two different ontologies is focused on finding similarity between two strings. Out of several available similarity measures it becomes difficult to select best one or best combination. In this paper we explore the use of Bayesian Networks to aid decision making under uncertainty. We present here a method to find out the best possible combination of similarity measures which can be taken for aggregation for the computation of final similarity value of two strings by learning Bayesian Networks.
  • 关键词:Ontology Alignment;String Similarity;Bayesian Networks Learning
国家哲学社会科学文献中心版权所有