A gauss function based approach for unbalanced ontology matching

SIGMOD-PODS'09 - Proceedings of the International Conference on Management of Data and 28th Symposium on Principles of Database Systems

Volumn , Issue , 2009, Pages 669-680

  Zhong, Qian ^a   Li, Hanyu ^b   Li, Juanzi ^a   Xie, Guotong ^b   Tang, Jie ^a   Zhou, Lizhu ^a   Pan, Yue ^b  

^a TSINGHUA UNIVERSITY   (China)

^b IBM CHINA RESEARCH LAB   (China)

Author keywords

Gauss function; Ontology matching; Unbalance

Indexed keywords

DATA EXCHANGE; DATA INTEGRATION; DOMAIN KNOWLEDGE; EXISTING METHOD; GAUSS FUNCTION; LIGHTWEIGHT ONTOLOGY; METADATA MANAGEMENT; MULTIPLE DOMAINS; ONTOLOGY MATCHING; SEMANTIC CORRESPONDENCE; SUB-ONTOLOGY;

DATA HANDLING; METADATA;

ONTOLOGY;

EID: 70849091844     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1559845.1559915     Document Type: Conference Paper

References (31)

1. GEMET homepage http://www.eionet.europa.eu/gemet.
2. Ontology Alignment Evaluation Initiative http://oaei.ontologymatching. org/.
3. GEMET download site http://oaei.ontologymatching.org/2007/ environment/gemet/gemet 2007 OWL.zip.
4. AGROVOC homepage http://www.fao.org/aims/ag intro.htm.
5. AGROVOC download site http://oaei.ontologymatching.org/2007/ food/agrovoc/agrovoc 2007 OWL.zip.
6. NAL homepage http://agclass.nal.usda.gov/agt/.
7. NAL download site http://oaei.ontologymatching.org/2007/ food/nalt 2007 OWL.zip.
8. Golden Standard download site http://oaei.ontologymatching.org/2007/ results/environment/gold standard/.
9. Zharko Aleksovski, Michel Klein, Warner ten Kate, and Frank van Harmelen. Matching Unstructured Vocabularies Using a Background Ontology. In Proceedings of the 15th International Conference on Knowledge Engineering and Knowledge Management (EKAW), 2006.
10. Yuan An, Alex Borgida, and John Mylopoulos. Discovering the Semantics of Relational Tables Through Mappings. Journal on Data Semantics,7:1-32, 2006.
11. Alexander Budanitsky and Graeme Hirst. Evaluating WordNet based Measures of Lexical Semantic Relatedness. Computational Linguistics,32(1):13-47, 2006.
12. Silvana Castano, Alfio Ferrara, and Stefano Montanelli. Matching Ontologies in Open Networked Systems: Techniques and Applications. Journal on Data Semantics,5:25-63, 2006.
13. Laura Chiticariu, Phokion G. Kolaitis, and Lucian Popa. Interactive Generation of Integrated Schemas. In Proceedings of the 27th International Conference on Management of Data(SIGMOD), 2008.
14. William W. Cohen, Pradeep Ravikumar, and Stephen E. Fienberg. A Comparison of String Metrics for Matching Names and Records. In Proceedings of 9th International Conference on Knowledge Discovery and Data Mining(KDD) Workshop on Data Cleaning and Object Consolidation, 2003.
15. Hong-Hai Do and Erhard Rahm. COMA-A System for Flexible Combination of Schema Matching Approaches. In Proceedings of the 28th International Conference on Very Large Data Bases(VLDB), 2002.
16. AnHai Doan, Pedro Domingos, and Alon Halevy. Reconciling Schemas of Disparate Data Sources: A Machine-Learning Approach. In Proceedings of the 20th International Conference on Management of Data(SIGMOD), 2001.
17. AnHai Doan and Alon Y. Halevy. Semantic Integration Research in the Database Community: A Brief Survey. AI Magazine, 26(1):83-94, 2005.
18. Risto Gligorov, Zharko Aleksovski, Warner ten Kate, and Frank van Harmelen. Using Google Distance to Weight Approximate Ontology Matches. In Proceedings of The 16th International World Wide Web Conference(WWW), 2007.
19. Laura M. Haas, Mauricio A. Hernández, Howard Ho, Lucian Popa, and Mary Roth. Clio Grows Up: From Research Prototype to Industrial Tool. In Proceedings of the 24th International Conference on Management of Data (SIGMOD), 2005.
20. Hai He, Weiyi Meng, Clement Yu, and Zonghuan Wu. WISE-Integrator: A System for Extracting and Integrating Complex Web Search Interfaces of The Deep Web. In Proceedings of 31st International Conference on Very Large Data Bases (VLDB), 2005.
21. Antoine Isaac, Lourens van der Meij, Stefan Schlobach, and Shenghui Wang. An Empirical Study of Instance-Based Ontology Matching. In Proceedings of The 6th International Semantic Web Conference and the 2nd Asian Semantic Web Conference(ISWC/ASWC), 2007.
22. Mong Li Lee, Liang Huai Yang, Wynne Hsu, and Xia Yang. XClust: Clustering XML Schemas for Effective Integration. In Proceedings of the 11th International Conference on Information and Knowledge Management (CIKM), 2002.
23. Douglas B. Lenat and Ramanathan V. Guha. Building Large Knowledgebased Systems. Addison Wesley, Reading (MA US), 1990.
24. Dekang Lin. An Information-Theoretic Definition of Similarity. In Proceedings of the 15th International Conference on Machine Learning (ICML 1998), 1998.
25. Jayant Madhavan, Philip A. Bernstein, and Erhard Rahm. Generic Schema Matching with Cupid. In Proceedings of the 27th International Conference on Very Large Data Bases (VLDB), 2001.
26. Sergey Melnik, Hector Garcia-Molina, and Erhard Rahm. Similarity Flooding: A Versatile Graph Matching Algorithm and its Application to Schema Matching. In Proceedings of 18th International Conference of Data Engineering(ICDE), 2002.
27. Tova Milo and Sagit Zohar. Using Schema Matching to Simplify Heterogeneous Data Translation. In Proceedings of the 24th International Conference on Very Large Data Bases(VLDB), 1998.
28. Natalya F. Noy. Semantic Integration: A Survey of Ontology-based Approaches. ACM SIGMOD Record, 33(4):65-70, 2004.
29. Jie Tang, Juanzi Li, Bangyong Liang, Xiaotong Huang, Yi Li, and Kehong Wang. Using Bayesian Decision for Ontology Mapping. Web Semantics. 4(4): 243-262, 2006.
30. Octavian Udrea, Lise Getoor, and Renée J. Miller. Leveraging Data and Structure in Ontology Integration. In Proceedings of the 26th Internationa Conference on Management of Data(SIGMOD), 2007.
31. Shenghui Wang, Gwenn Englebienne, and Stefan Schlobach. Learning Concept Mappings from Instance Similarity. In Proceedings of the 7th International Semantic Web Conference (ISWC 2008), 2008.