Validating multi-column schema matchings by type

Proceedings - International Conference on Data Engineering

Volumn , Issue , 2008, Pages 120-129

  Dai, Bing Tian ^a   Koudas, Nick ^b   Srivastava, Divesh ^c   Tung, Anthony K H ^a   Venkatasubramanian, Suresh ^d  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b UNIVERSITY OF TORONTO   (Canada)

^c AT AND T LABS RESEARCH   (United States)

^d UNIVERSITY OF UTAH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SYSTEMS; FINANCIAL DATA PROCESSING; INFORMATION THEORY; STANDARDS; TECHNOLOGY;

CUSTOMER BASES; DATA ENGINEERING; DATA SETS; DATABASE INTEGRATION; DATABASE SCHEMAS; EXPERIMENTAL STUDIES; INTERNATIONAL CONFERENCES; MATCHINGS; OVERLAPPING DATA; SCHEMA MATCHING; SUB-STRINGS; TECHNICAL IDEAS;

COLUMNS (STRUCTURAL);

EID: 52749083110     PISSN: 10844627     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDE.2008.4497420     Document Type: Conference Paper

References (22)

1. E. Rahm and P. A. Bernstein, "A survey of approaches to automatic schema matching," VLDB Journal, vol. V10, pp. 334-350, 2001.
2. A. Doan and A. Y. Halevy, "Semantic-integration research in the database community," AI Mag., vol. 26, no. 1, pp. 83-94, 2005.
3. J. Madhavan, P. A. Bernstein, and E. Rahm, "Generic schema matching with cupid," in Proc. VLDB, 2001, pp. 49-58.
4. D. W. Embley, L. Xu, and Y. Ding, "Automatic direct and indirect schema mapping: experiences and lessons learned," SIGMOD Rec., vol. 33, no. 4, pp. 14-19, 2004.
5. R. H. Warren and F. W. Tompa, "Multi-column substring matching for database schema translation." in Proc. VLDB, 2006, pp. 331-342.
6. A. Doan, P. Domingos, and A. Y. Halevy, "Reconciling schemas of disparate data sources: a machine-learning approach," in Proc. SIGMOD, 2001, pp. 509-520.
7. W.-S. Li and C. Clifton, "Semint: a tool for identifying attribute correspondences in heterogeneous databases using neural networks," Data Knowl. Eng., vol. 33, no. 1, pp. 49-84, 2000.
8. J. Berlin and A. Motro, "Autoplex: Automated discovery of content for virtual databases," in Proc. CoopIS, 2001, pp. 108-122.
9. J. Berlin and A. Motro, "Database schema matching using machine learning with feature selection," in Proc. CAiSE, 2002.
10. J. Kang and J. F. Naughton, "On schema matching with opaque column names and data values," in Proc. SIGMOD, 2003, pp. 205-216.
11. B. He, K. C.-C. Chang, and J. Han, "Discovering complex matchings across web query interfaces: a correlation mining approach," in Proc. KDD, 2004, pp. 148-157.
12. J. Kang, D. Lee, and P. Mitra, "Identifying Value Mappings for Data Integration: An Unsupervised Approach," in Proc. WISE, 2005.
13. F. Naumann, C.-T. Ho, X. Tian, L. M. Haas, and N. Megiddo, "Attribute classification using feature analysis." in Proc. ICDE, 2002, p. 271.
14. L. L. Yan, R. J. Miller, L. M. Haas, and R. Fagin, "Data-driven understanding and refinement of schema mappings," in Proc. SIGMOD, 2001, pp. 485-496.
15. L. Chiticariu and W. C. Tan, "Debugging schema mappings with routes." in Proc. VLDB, 2006, pp. 79-90.
16. B. T. Dai, N. Koudas, B. C. Ooi, D. Srivastava, and S. Venkatasubramanian, "Rapid identification of column heterogenity," in Proc. IEEE Intnl. Conf Data Mining, 2006.
17. J. Lin, "Divergence measures based on the shannon entropy," IEEE Trans. on Information Theory, vol. 37, no. 1, pp. 145-151, 1991.
18. T. M. Cover and J. A. Thomas, Elements of information theory. New York, NY, USA: Wiley-Interscience, 1991.
19. I. H. Witten and E. Frank, Data Mining: Practical machine learning tools and techniques, 2nd ed. Morgan Kaufmann, 2005.
20. N. Tishby, F. Pereira, and W. Bialek, "The information bottleneck method," in Proc. 37-th Annual Allerton Conference on Communication, Control and Computing, 1999, pp. 368-377.
21. N. Slonim, "The information bottleneck: Theory and applications," Ph.D. dissertation, The Hebrew University, 2003.
22. P. Bohannon, E. Elnahrawy, W. Fan, and M. Flaster, "Putting context into schema matching." in VLDB, 2006, pp. 307-318.