[1] Li Keyue, Xu Baowen, Wang Peng, et al. Ontology mapping approach using web search engine [J]. Journal of Southeast University (English Edition), 2007, 23 (3): 352-356. [doi:10.3969/j.issn.1003-7985.2007.03.008]

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Ontology mapping approach using web search engine()

一种利用搜索引擎实现本体映射的方法

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

23

Issue:

2007 3

Page:

352-356

Research Field:

Computer Science and Engineering

Publishing date:

2007-09-30

Info

Title:

Ontology mapping approach using web search engine

一种利用搜索引擎实现本体映射的方法

Author(s):

Li Keyue¹;  Xu Baowen¹;  2;  Wang Peng¹

¹School of Computer Science and Engineering, Southeast University, Nanjing 210096, China
² Jiangsu Institute of Software Quality, Nanjing 210096, China

李珂玥¹;  徐宝文¹;  2;  汪鹏¹

¹东南大学计算机科学与工程学院, 南京 210096; ²江苏省软件质量研究所, 南京 210096

Keywords:

semantic web;  ontology;  ontology mapping;  web search engine

语义web;  本体;  本体映射;  web搜索引擎

PACS:

TP391

DOI:

10.3969/j.issn.1003-7985.2007.03.008

Abstract:

A new mapping approach for automated ontology mapping using web search engines(such as Google)is presented.Based on lexico-syntactic patterns, the hyponymy relationships between ontology concepts can be obtained from the web by search engines and an initial candidate mapping set consisting of ontology concept pairs is generated.According to the concept hierarchies of ontologies, a set of production rules is proposed to delete the concept pairs inconsistent with the ontology semantics from the initial candidate mapping set and add the concept pairs consistent with the ontology semantics to it.Finally, ontology mappings are chosen from the candidate mapping set automatically with a mapping select rule which is based on mutual information.Experimental results show that the F-measure can reach 75% to 100% and it can effectively accomplish the mapping between ontologies.

提出了一种利用web搜索引擎如Google自动完成本体映射的方法.该方法通过构造句法模式, 利用web搜索引擎获得异构本体概念间的上下义关系, 产生由本体概念对组成的初始候选映射集.根据本体的概念层次建立一个产生式规则集, 从初始候选映射集中去除不符合本体语义的概念对, 同时加入符合本体语义但未被初始候选映射集包含的概念对.最后, 按照基于互信息的映射选取规则从候选集映射集中自动产生本体映射.实验结果表明, 该方法的F-measure可达到75%~100%, 能有效地完成本体之间的映射.

References:

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[5] Cimiano P, Handschuh S, Staab S.Towards the self-annotating web[C]//Proceedings of the 13th World Wide Web Conference.ACM Press, 2004: 462-471.
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[7] Etzioni O, Cafarella M, Downey D, et al.Web-scale information extraction in knowitall:(preliminary results)[C]//Proceedings of the 13th World Wide Web Conference. ACM Press, 2004:100-110.
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[9] Wang J, Wen J, Lochovsky F, et al.Instance-based schema matching for web databases by domain-specific query probing[C]//Proceedings of the 30th International Conference on Very Large Data Bases.Toronto:Morgan Kaufmann Press, 2004:408-419.

Memo

Memo:

Biographies: Li Keyue(1983—), female, graduate;Xu Baowen(corresponding author), male, doctor, professor, bwxu@seu.edu.cn.

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