CORC  > 清华大学
Using Bayesian decision for ontology mapping
Tang, Jie ; Li, Juanzi ; Liang, Bangyong ; Huang, Xiaotong ; Li, Yi ; Wang, Kehong
2010-05-06 ; 2010-05-06
关键词ontology mapping semantic web Bayesian decision ontology interoperability Computer Science, Artificial Intelligence Computer Science, Information Systems Computer Science, Software Engineering
中文摘要Ontology mapping is the key point to reach interoperability over ontologies. In semantic web environment, ontologies are usually distributed and heterogeneous and thus it is necessary to find the mapping between them before processing across them. Many efforts have been conducted to automate the discovery of ontology mapping. However, some problems are still evident. In this paper, ontology mapping is formalized as a problem of decision making. In this way, discovery of optimal mapping is cast as finding the decision with minimal risk. An approach called Risk Minimization based Ontology Mapping ( RiMOM) is proposed, which automates the process of discoveries on 1:1, n:1, 1: null and null: 1 mappings. Based on the techniques of normalization and NLP, the problem of instance heterogeneity in ontology mapping is resolved to a certain extent. To deal with the problem of name conflict in mapping process, we use thesaurus and statistical technique. Experimental results indicate that the proposed method can significantly outperform the baseline methods, and also obtains improvement over the existing methods. (C) 2006 Elsevier B. V. All rights reserved.
语种英语 ; 英语
出版者ELSEVIER SCIENCE BV ; AMSTERDAM ; PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
内容类型期刊论文
源URL[http://hdl.handle.net/123456789/9927]  
专题清华大学
推荐引用方式
GB/T 7714
Tang, Jie,Li, Juanzi,Liang, Bangyong,et al. Using Bayesian decision for ontology mapping[J],2010, 2010.
APA Tang, Jie,Li, Juanzi,Liang, Bangyong,Huang, Xiaotong,Li, Yi,&Wang, Kehong.(2010).Using Bayesian decision for ontology mapping..
MLA Tang, Jie,et al."Using Bayesian decision for ontology mapping".(2010).
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace