sPLMap: A probabilistic approach to schema matching

Lecture Notes in Computer Science

Volumn 3408, Issue , 2005, Pages 81-95

  Nottelmann, Henrik ^a   Straccia, Umberto ^b  

^a UNIVERSITY OF DUISBURG ESSEN   (Germany)

^b ISTI CNR   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SCIENCE; CONFORMAL MAPPING; DATABASE SYSTEMS; FORMAL LOGIC; INFORMATION RETRIEVAL; INFORMATION TECHNOLOGY; LOGIC PROGRAMMING; PROBABILITY;

DATA SETS; MAPPING RULES; PROBABILITY THEORY; SCHEMA MATCHING;

PROBABILISTIC LOGICS;

EID: 24644460578     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-31865-1_7     Document Type: Conference Paper

References (15)

1. J. Callan and M. Connell. Query-based sampling of text databases. ACM Transactions on Information Systems, 19(2):97-130, 2001.
2. R. Dhamankar, Y. Lee, A. Doan, A. Halevy, and P. Domingos. iMAP: Discovering complex semantic matches between database schemas. In SIGMOD 2004, 2004.
3. A. Doan, P. Domingos, and A. Y. Halevy. Reconciling schemas of disparate data sources: A machine-learning approach. In SIGMOD Conference, 2001.
4. A. Doan, J. Madhavan, R. Dhamankar, P. Domingos, and A. Halevy. Learning to match ontologies on the semantic web. VLDB Journal, 2004.
5. R. Fagin, P. G. Kolaitis, W.-C. Tan, and L. Popa. Composing schema mappings: Second-order dependencies to the rescue. In Proceedings PODS, 2004.
6. M. Friedman, A. Y. Levy, and T. D. Millstein. Navigational plans for data integration. In Proceedings of 16th Natl Conf on Artificial Intelligence, pages 67-73, 1999.
7. N. Fuhr. Towards data abstraction in networked information retrieval systems. Information Processing and Management, 35(2):101-119, 1999.
8. N. Fuhr. Probabilistic Datalog: Implementing logical information retrieval for advanced applications. Journal of the American Society for Information Science, 51(2):95-110, 2000.
9. B. He and K. C.-C. Chang. Statistical schema matching across web query interfaces. In Papakonstantinou et al. [13].
10. J. Kang and J. F. Naughton. On schema matching with opaque column names and data values. In Papakonstantinou et al. [13].
11. M. Lenzerini. Data integration: a theoretical perspective. In Proceedings of the 21st ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems (PODS-02), pages 233-246. ACM Press, 2002.
12. H. Nottelmann and N. Fuhr. Learning probabilistic Datalog rules for information classification and transformation. In H. Paques, L. Liu, and D. Grossman, editors, Proceedings of the 10th International Conference on Information and Knowledge Management, pages 387-394, New York, 2001. ACM.
13. Y. Papakonstantinou, A. Halevy, and Z. Ives, editors. Proceedings SIGMOD 2003, 2003.
14. E. Rahm and P. A. Bernstein. A survey of approaches to automatic schema matching. The VLDB Journal, 10(4):334-350, 2001.
15. F. Sebastiani. Machine learning in automated text categorization. ACM Computing Surveys, 34(1):1-47, 2002.