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J4  2014, Vol. 48 Issue (1): 76-84    DOI: 10.3785/j.issn.1008-973X.2014.01.012
计算机技术﹑电信技术     
基于特征自适应的本体映射方法
蒋湛,姚晓明,林兰芬
浙江大学 计算机科学与技术学院,浙江 杭州 310027
Feature-based adaptive method of ontology mapping
JIANG Zhan, YAO Xiao-ming, LIN Lan-fen
College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China
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摘要:

针对现有的多策略映射方法在执行本体映射任务时不能基于本体特征进行动态调整的问题,提出基于特征自适应的本体映射方法(FAMAP).该方法从语言、属性、实例和结构4个维度描述待映射本体的特征,通过计算每项特征相似度的初始度量值和该特征对应映射策略的相似度矩阵得到该特征的置信度,采用Sigmoid方法实现在映射结果组合时基于特征的置信度对该特征对应策略的权值进行自适应调整.在语言级映射策略上,提出基于Wordnet、综合考虑概念信息量和概念抽象度的语义相似度计算方法.实验结果表明,采用FAMAP方法提高了查准率,取得了更好的匹配效果.

Abstract:

Existing multi-strategy mapping methods could not dynamically adjust based on different ontologies and real situation, exposing the inadequacy of exploiting the semantic information and characteristics of ontology. A feature-based adaptive ontology mapping method (FAMAP) was presented to solve these problems. Four dimensions, including language feature, attribute feature, instance feature and structure feature, were adopted to describe the characteristics of ontologies. The reliability of each feature of ontology was calculated based on the initial metric value of corresponding characteristic and the similarity matrix of corresponding mapping strategy. Then the weight of each mapping strategy can be adapted to the reliability of the corresponding feature of ontology. The different mapping strategies were assembled by Sigmoid method, outstanding the part of high prediction. A new semantic similarity method was proposed considering the information content and level of abstraction of concept. Experimental results showed that FAMAP method improved the precision while maintaining the recall of the ontology mapping.

出版日期: 2014-01-01
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基金资助:

高等学校博士学科专项科研基金资助项目(20110101110065);浙江省自然科学基金资助项目(Z1090461);国家“十二五”科技支撑计划资助项目(2011BAG05B04,2012BAD35B01);浙江省创新团队计划资助项目(2009R50015).

通讯作者: 林兰芬,女,教授,博导.     E-mail: llf@zju.edu.cn
作者简介: 蒋湛(1985-),男,博士生,从事企业互操作、本体映射的研究. E-mail: jockiecs@zju.edu.cn
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引用本文:

蒋湛,姚晓明,林兰芬. 基于特征自适应的本体映射方法[J]. J4, 2014, 48(1): 76-84.

JIANG Zhan, YAO Xiao-ming, LIN Lan-fen. Feature-based adaptive method of ontology mapping. J4, 2014, 48(1): 76-84.

链接本文:

http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2014.01.012        http://www.zjujournals.com/eng/CN/Y2014/V48/I1/76

[1] CASTANO S, FERRARA A,MONTANELLI S. Matching ontologies in open networked systems: techniques and applications [J]. Lecture Notes in Computer Science,2006,3870:25-63.
[2] EUZENAT J, SHVAIKO P. Ontology matching [M]. [S.l.]: Springer, 2007.
[3] SHVAIKO P, EUZENAT J. Tutorial on ontology matching [C]∥Workshop on Semantic Web Applications and Perspectives.Frankfurt:CEUR, 2006:26228.
[4] WANG T, POTTINGER R. SeMap: a generic mapping construction system [C]∥Proceedings of EDBT. Nantes, France: ACM , 2008: 97-108.
[5] CHRISTIAN M, HEINER S. Analyzing mapping extraction approaches [C]∥Proceedings of the ISWC’2007 Workshop on Ontology Matching (OM-2007). Korea: [s. n.], 2007: 25-36.
[6] MARC E, YORK S.Ontology mapping: an integrated approach [C]∥1st European Semantic Web Symposium (ESWS2004).Heraklion: [s.n.], 2004: 77-91.
[7] QASIM I, KHAN S. Semantic mapping between global and source ontology using WordNet [C]∥Proceedings of the 2nd IEEE International Conference on Computer, Control and Communication. Karachi: IEEE, 2009: 1-5.
[8] DOAN A H, DOMINGOS P, HALEVY A Y. Reconciling schemas of disparate data sources: A machine-learning approach [C]∥Proceedings of the 2001 ACM SIGMOD International Conference on Management of Data. Santa Barbara: ACM, 2001: 509-520.
[9] DO H H, RAHM E. COMA: a system for flexible combination of schema matching approaches [C]∥ Proceedings of the 28th International Conference on Very Large Data Bases. Hong Kong: Morgan Kaufmann, 2002: 610-621.
[10] LUO Fu-qiang, XIONG Yong-fu. The method of multi-strategy ontology mapping [C]∥Proceedings of the 3rd IEEE International Conference on Computational and Information Sciences. Chengdu: IEEE, 2011:1059-1062.
[11] ZENG Fan-zhi, XU De-zhi, LI Peng. Self-adapting ontology mapping method [J]. Computer Engineering, 2009, 35(17): 78-80.
[12] DOAN A H, MADHAVAN J, DHAMANKAR R, et al.Learning to map between ontologies on the semantic web [C]∥Proceedings of the 11th International Conference on World Wide Web.Honolulu: ACM, 2002.
[13] UDREA O,GETOOR L,MILLER R J. Leveraging data and structure in ontology integration [C]∥ Proceedings of the 2007 ACM SIGMOD International Conference on Management of Data. Beijing: ACM, 2007: 449-460.
[14] EHRIG M, STAAB S.QOM: quick ontology mapping [C]∥Proceedings of the 3rd International Semantic Web Conference (ISWC2004).Hiroshima: IEEE,2004: 683-697.
[15] WANG Ru-juan, WANG Lei, LIU Lei, et al. Combination of the improved method for ontology mapping [J]. Physics Procedia, 2012, 25: 2167-2172.
[16] SINGH S, CHEAH Y. A hybrid approach for ontology mapping via genetic algorithm [C]∥Proceedings of the 3rd International Conference on Computational Intelligence, Modeling and Simulation (CIMSiM2011). Langkawi: IEEE, 2011: 80-83.
[17] LIU Zhen-yu, YAN Feng-bin, ZHANG Bao-hua. Heterogeneous databases integration approach based on hybrid ontology [J]. Applied Mechanics and Materials. 2012,182-183: 1948-1952.
[18] LIU Xi-yin, CAO Li-jun, DAI Wei. Overview on ontology mapping and approach [C]∥Proceedings of the 4th IEEE International Conference on Broadband Network and Multimedia Technology(IC-BNMT2011). Shenzhen: IEEE, 2011: 592-595.
[19] 李文清,孙新,张常有,等. 一种本体概念的语义相似度计算方法[J], 自动化学报,2012,38(2):229-235.
LI Wen-qing, SUN Xin, ZHANG Chang-you, et al. A semantic similarity measure between ontological concepts [J]. Acta Automatica Sinica, 2012, 38(2): 229-235.
[20] MOCHOL M, JENTZSCH A, EUZENAT J. Applying an analytic method for matching approach selection [C]∥Proceedings of Ontology Matching. Georgia: CEUR, 2006: 37-48.
[21] RESNIK P. Using information content to evaluate semantic similarity in a taxonomy [C]∥Proceedings of the 14th International Joint Conference on Artificial Intelligence. Montreal: Morgan, 1995: 448-453.
[22] SEKINE S, SUKO, OGINO T.Statistical matching of two ontologies [C]∥Proceedings of the SIGLEX99:Standerdizing Lexical Resources. Maryland: [s. n.], 1999: 69-73.
[23] JEAN-MARY Y R, KABUKA M R. ASMOV: results for OAEI 2008 [EB/OL]. [2009-10-29]. http:∥www.dit.unitn.it/~p2p/OM-2008/oaei08paper.pdf.
[24] LI Yi, ZHONG Qian, LI Juan-zi, et al. Result of ontology alignment with RiMOM at OAEI07 [C]∥Proceedings of the ISWC’2007 Workshop on Ontology Matching. Korea: BibSonomy, 2007:216-224.
[25] HU Wei, QU Yu-zhong.Falcon-AO:a practical ontology matching system [J].Web Semantics:Science,Services and Agents on the World Wide Web,2008,6(3):237-239.

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