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[1] Liu Chen, Han Yanbo, Chen Wanghu, et al. More efficient ontology matching algorithmfor integrating heterogeneous web resources [J]. Journal of Southeast University (English Edition), 2007, 23 (3): 381-384. [doi:10.3969/j.issn.1003-7985.2007.03.015]
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More efficient ontology matching algorithmfor integrating heterogeneous web resources()
一种使能异构web资源集成的高效本体匹配算法
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
23
Issue:
2007 3
Page:
381-384
Research Field:
Computer Science and Engineering
Publishing date:
2007-09-30

Info

Title:
More efficient ontology matching algorithmfor integrating heterogeneous web resources
一种使能异构web资源集成的高效本体匹配算法
Author(s):
Liu Chen1;  2;  Han Yanbo1;  Chen Wanghu1;  2;  Ding Weilong3
1Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100080, China
2Graduate University, Chinese Academy of Sciences, Beijing 100039, China
3College of Information Science and Technology, Shando
刘晨1;  2;  韩燕波1;  陈旺虎1;  2;  丁维龙3
1中国科学院计算技术研究所, 北京 100080; 2中国科学院研究生院, 北京 100039; 3山东科技大学信息科学与技术学院, 青岛 266510
Keywords:
ontology matching;  matching performance;  matching rule
本体匹配;  匹配性能;  匹配规则
PACS:
TP311
DOI:
10.3969/j.issn.1003-7985.2007.03.015
Abstract:
To improve the performance of the ontology matching process, a more efficient ontology matching algorithm, which can effectively eliminate unnecessary operations of matching entities, is proposed.By the theoretical analysis and proof, a set of matching rules are summarized for depicting inherent relations among matching results of entities.Based on these rules, the proposed algorithm can reuse the matching results of two entities to directly determine the matching results of their adjacent entities.Thereby, redundant operations of matching adjacent entities can be avoided, which can improve the performance of the whole matching process.The experimental results show that, compared with related algorithms, the proposed algorithm has high matching accuracy and can remarkably reduce the consuming time of the whole matching process.So, the proposed algorithm is more competent for the large-scale ontology matching which often occurs in the practical heterogeneous web resources integration project.
为了提高本体匹配过程的性能, 提出了一种能够有效减少冗余实体匹配操作的高效本体匹配算法rule-match.通过理论分析和证明, 总结出了一组刻画实体匹配结果内在联系的匹配规则.基于这组规则, 匹配算法可以在匹配过程中重用2个本体实体的匹配结果来直接确定其邻接实体的匹配结果, 避免了对邻接实体所进行的不必要的匹配操作, 从而提升整个匹配过程的性能.实验结果表明, 相对于其他匹配算法, 该算法不仅具有较高的准确率, 而且能有效降低整个匹配过程所消耗的时间.该算法适用于解决实际异构web信息资源集成项目中所常见的大规模本体匹配问题.

References:

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Memo

Memo:
Biographies: Liu Chen(1980—), male, graduate;Han Yanbo(corresponding author), male, doctor, professor, yhan@ict.ac.cn.
Last Update: 2007-09-20