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现代图书情报技术  2013, Vol. 29 Issue (2): 36-42     https://doi.org/10.11925/infotech.1003-3513.2013.02.06
  知识组织与知识管理 本期目录 | 过刊浏览 | 高级检索 |
一种基于词语相似度计算的本体映射方法
徐健1, 方安2, 洪娜2
1. 中山大学资讯管理学院 广州 510006;
2. 中国医学科学院医学信息研究所 北京 100020
An Ontology Mapping Method Based on Lexical Similarity Calculation
Xu Jian1, Fang An2, Hong Na2
1. School of Information Management, Sun Yat-Sen University, Guangzhou 510006, China;
2. Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
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摘要 本体映射是解决本体异构的有效手段。针对本体映射中概念相似度计算存在的不足,提出一种改进方法。将WordNet的同义词、近义词检索和编辑距离算法引入术语中心词之间的相似度判断过程,并借助新的自动权重分配方法对术语中心词和术语修饰词相似度进行集成。通过与同类典型本体映射方法对比实验证明,该方法具有良好的效果。
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徐健
方安
洪娜
关键词 本体映射词语相似度概念相似度    
Abstract:Ontology mapping is one of the solutions to Ontology heterogeneity problem. To solve problems that still exist in current concept similarity calculation algorithms, the paper puts forward an improved method,which introduces the synonym/homonym search and edit distance algorithm into the process of term head words similarity calculation. The new automatic weight assign method is also used to integrate the similarity values of head words and modify words. Compared to the other classic Ontology mapping method of the same type, it is proved the improved method has better effects.
Key wordsOntology mapping    Lexical similarity    Concept similarity
收稿日期: 2012-12-25      出版日期: 2013-04-24
:  G250  
基金资助:本文系国家社会科学基金项目“关联数据中潜在知识关联的发现方法研究”(项目编号:11CTQ016)和国家社会科学基金项目“用户评论情感分析及其在竞争情报服务中的应用研究”(项目编号:11CTQ022)的研究成果之一。
通讯作者: 洪娜,hong.na@imicams.ac.cn     E-mail: hong.na@imicams.ac.cn
引用本文:   
徐健, 方安, 洪娜. 一种基于词语相似度计算的本体映射方法[J]. 现代图书情报技术, 2013, 29(2): 36-42.
Xu Jian, Fang An, Hong Na. An Ontology Mapping Method Based on Lexical Similarity Calculation. New Technology of Library and Information Service, 2013, 29(2): 36-42.
链接本文:  
https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.1003-3513.2013.02.06      或      https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/Y2013/V29/I2/36
[1] Fellbaum C. WordNet: An Electronic Lexical Database[M]. Cambridge: MIT Press, 1998: 292-296.
[2] Rodríguez M A, Egenhofer M J. Determining Semantic Similarity Among Entity Classes from Different Ontologies[J]. IEEE Transactions on Knowledge and Data Engineering, 2003, 15(2):442-456.
[3] Sunna W, Cruz I F. Structure-based Methods to Enhance Geospatial Ontology Alignment[C]. In:Proceedings of the 2nd International Conference on GeoSpatial Semantics(GeoS'07). Berlin, Heidelberg:Springer-Verlag,2007:82-97.
[4] Doan A, Madhavan J, Domingos P, et al. Ontology Matching: A Machine Learning Approach[OL]. Handbook on Ontologies in Information Systems, 2004, LNCS 4853: 397-416. [2012-12-02]. http://homes.cs.washington.edu/~pedrod/papers/hois.pdf.
[5] Shailendra S, Cheah Y. Hybrid Approach Towards Ontology Mapping[C]. In: Proceedings of 2010 International Symposium in the Information Technology (ITSim). Berlin: Springer-Verlag, 2010: 1490-1493.
[6] 高炜, 梁立. 一种改进的基于相似度的本体映射方法[J]. 甘肃联合大学学报:自然科学版, 2009, 23(5): 59-63. (Gao Wei, Liang Li. Improved Ontology Mapping Method Based on Semantic Similarity[J]. Journal of Gansu Lianhe University:Natural Sciences Edition, 2009, 23(5): 59-63.)
[7] 李佳, 祝铭, 刘辰, 等. 中文本体映射研究与实现[J]. 中文信息学报, 2007, 21(4):27-33.(Li Jia, Zhu Ming, Liu Chen, et al. Research and Implementation on Chinese Ontology Mapping[J]. Journal of Chinese Information Processing, 2007, 21(4):27-33.)
[8] Cosine Similarity[EB/OL]. [2012-12-02]. http://en.wikipedia.org/wiki/Cosine_similarity.
[9] Smith T F, Waterman M S. Identification of Common Molecular Subsequences[J]. Journal of Molecular Biology, 1981,147(1): 195-197.
[10] Winkler W E. String Comparator Metrics and Enhanced Decision Rules in the Fellegi-Sunter Model of Record Linkage[C]. In: Proceedings of the Section on Survey Research Methods. 1999: 354-359.
[11] Jaro M A. Advances in Record Linkage Methodology as Applied to the 1985 Census of Tampa Florida[J]. Journal of the American Statistical Society, 1989, 84(406):414-420.
[12] Nenadic G, Spasic I, Ananiadou S. Automatic Discovery of Term Similarities Using Pattern Mining[C]. In:Proceedings of the 2nd International Workshop on Computational Terminology. Stroudsburg, PA, USA:Association for Computational Linguistics, 2002: 1-7.
[13] Noessner J, Niepert M. CODI: Combinatorial Optimization for Data Integration–Results for OAEI 2010[C]. In:Proceedings of the 5th International Workshop on Ontology Matching (OM-2010), Shanghai, China. 2010: 142-149.
[14] Huber J, Sztyler T, Noessner J, et al. CODI: Combinatorial Optimization for Data Integration–Results for OAEI 2011[C]. In: Proceedings of the ISWC Workshop on Ontology Matching. 2011: 134-141.
[15] Agirre E, Rigau G. A Proposal for Word Sense Disambiguation Using Conceptual Distance[J]. Amsterdam Studies in the Theory and History of Linguistic Science Series, 1997(4): 161-172.
[16] Resnik P. Using Information Content to Evaluate Semantic Similarity in a Taxonomy[C]. In: Proceedings of the 14th International Joint Conference on Artificial Intelligence(IJCAI-95).1995: 448-453.
[17] 陈骏. 一种新的本体映射方法[J]. 情报杂志, 2009, 28(8): 183-186. (Chen Jun. A New Approach in Ontology Mapping[J]. Journal of Intelligence, 2009, 28(8): 183-186.)
[18] The Porter Stemming Algorithm[EB/OL]. [2012-12-02]. http://tartarus.org/~martin/PorterStemmer/.
[19] Jaro Winkler Distance[EB/OL]. [2012-12-02]. http://en.wikipedia.org/wiki/Jaro-Winkler_distance.
[20] 刘莎. 名词短语中修饰语排序的认知原因[J]. 科教文汇, 2007(10): 198-199. (Liu Sha. The Cognitive Reason of Modifier Words Order in Noun Phrases[J]. The Science Education Article Collects, 2007(10): 198-199.)
[21] Stanford Parser[EB/OL]. [2012-12-02]. http://nlp.stanford.edu/index.shtml.
[22] Meilicke C, vb -Zamazal O, Trojahn C, et al. Evaluating Ontology Matching Systems on Large,Multilingual and Real-world Test Cases [OL]. [2012-12-02]. http://arxiv.org/pdf/1208.3148v1.pdf.
[23] 徐德智, 肖文芳, 王怀民. 本体映射过程中的概念相似度计算[J]. 计算机工程与应用, 2007, 43(9): 167-169. (Xu Dezhi, Xiao Wenfang, Wang Huaimin. Concept Similarity Calculating During the Process of Ontology Mapping[J]. Computer Engineering and Applications, 2007, 43(9): 167-169.)
[24] Anatomy-Results of 2010 Evaluation[EB/OL]. [2012-12-02]. http://oaei.ontologymatching.org/2010/results/anatomy/index.html.
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