Graph-based query rewriting for knowledge sharing between peer ontologies

被引:13
作者
Qin, Biao [1 ,2 ]
Wang, Shan [1 ,2 ]
Du, Xiaoyong [1 ,2 ]
Chen, Qiming [3 ]
Wang, Qiuyue [1 ,2 ]
机构
[1] Minist Educ Res, Key Lab Data Engn & Knowledge Engn, Beijing 100872, Peoples R China
[2] Renmin Univ China, Dept Comp Sci, Beijing 100872, Peoples R China
[3] Palo Alto Hewlett Packard Co, HP Labs, Palo Alto, CA 94303 USA
基金
中国国家自然科学基金;
关键词
ontology; peer architectures; query rewriting; schema mappings;
D O I
10.1016/j.ins.2008.05.026
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Peer knowledge management systems (PKMS) offer a flexible architecture for decentralized knowledge sharing. In PKMSs, the knowledge sharing and evolution processes are based on peer ontologies. Finding an effective and efficient query rewriting algorithm for regular expression queries is vital for knowledge sharing between peers in PKMSs; and for this our solution is characterized by graph-based query rewriting. Based on the graphs for both axioms and mappings, we design a novel algorithm, regular expression rewriting algorithm, to rewrite regular expression queries along semantic paths. The simulation results show that the performance of our algorithm is better than Mork's reformulation algorithms [P. Mork, Peer architectures for knowledge sharing, PhD thesis, University of Washington, 2005. <http://www.mitre.org/staffpages/pmork/>], and our algorithm is more effective than the naive rewriting algorithm. (C) 2008 Elsevier Inc. All rights reserved.
引用
收藏
页码:3525 / 3542
页数:18
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