WISE-integrator: An automatic integrator of web search interfaces for E-commerce

Proceedings - 29th International Conference on Very Large Data Bases, VLDB 2003

Volumn , Issue , 2003, Pages 357-368

  He, Hai ^a   Meng, Weiyi ^a   Yu, Clement ^b   Wu, Zonghuan ^c  

^a State University of New York at Binghamton   (United States)

^b 1120 Science and Engineering Offices   (United States)

^c UNIVERSITY OF LOUISIANA AT LAFAYETTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMMERCE; SEARCH ENGINES;

ATTRIBUTE MATCHING; DIFFERENT DOMAINS; DOMAIN DIFFERENCES; E-COMMERCE SEARCH ENGINES; HUMAN INTERACTIONS; INTEGRATED INTERFACE; SEARCH INTERFACES; WEB SEARCH INTERFACES;

ELECTRONIC COMMERCE;

EID: 85012202641     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (22)

1. C. Batini, M. Lenzerini, S. Navathe. A Comparative Analysis of Methodologies for Database Schema Integration. ACM Computing Surveys, 18(4):323-364, December 1986.
2. I. Benetti, D. Beneventano, S. Bergamaschi, F. Guerra and M. Vincini. SI-Designer: An Integration Framework for E-Commerce. 17th IJCAI-01, Seattle.
3. S. Bergamaschi, S. Castano, M. Vincini, D. Beneventano. Semantic Integration of Heterogeneous Information Sources. Journal of Data and Knowledge Engineering, 36(3):215-249, 2001.
4. W. Cohen. Integration of Heterogeneous Databases Without Common Domains Using Queries Based on Textual Similarity. ACM SIGMOD Conference, Seattle, WA, 1998.
5. H. Do, E. Rahm. COMA-A System for Flexible Combination of Schema Matching Approaches. The 28th VLDB conference, Hong Kong, 2002.
6. A. Doan, P. Domingos, A. Halevy. Reconciling Schemas of Disparate Data Sources: A Machine-learning Approach. ACM SIGMOD Conference, May 2001.
7. R. B. Doorenbos, O. Etzioni, and D. S. Weld. A Scalable Comparision-Shopping Agent for the World Wide Web. Techinical Report UW-CSE-96-01-03, University of Washington, 1996.
8. W. Frakes and R. Baeza-Yates. Information Retrieval: Data Structures & Algorithms. Prentice Hall, Englewood Cliffs, N. J. 1992.
9. M. Genesereth, A. Keller, O. Duschka. Infomaster: An Information Integration System. ACM SIGMOD Conference, May 1997
10. B. He, K. Chang. Statistical Schema Integration Across the Deep Web. ACM SIGMOD Conference, 2003.
11. HTML4: http://www.w3.org/TR/html4/.
12. J. Larson, S. Navathe, R. Elmasri. A Theory of Attribute Equivalence in Databases with Application to Schema Integration. IEEE Transactions on Software Engineering, Vol. 15, No. 4, April 1989.
13. A. Levy, A. Rajaraman, J. J. Ordille. Querying Heterogeneous Information Sources Using Source Description. The 22nd VLDB Conference, India, 1996
14. W. Li, and C. Clifton. SEMINT: A Tool for Identifying Attribute Correspondences in Heterogeneous Databases Using Neural Networks. Data & Knowledge Engineering, 33:49-84, 2000.
15. J. Madhavan, P. Bernstein, E. Rahm. Generic Schema Matching with Cupid. VLDB Conference, 2001.
16. S. Melnik, H. Garcia-Molina, and E. Rahm. Similarity Flooding: A Versatile Graph Matching Algorithm and its Application to Schema Matching. IEEE Conference on Data Engineering, San Jose, 2002.
17. A. Miller. WordNet: A Lexical Database for English. Communications of the ACM, 38(11):39-41, 1995.
18. Q. Peng, W. Meng, H. He, and C. Yu. Clustering of E-Commerce Search Engines. Submitted for publication, 2003.
19. S. Raghavan, H. Garcia-Molina. Crawling the Hidden Web. The 27th VLDB Conference, 2001.
20. E. Rahm, P. Bernstein. A Survey of Approaches to Automatic Schema Matching. VLDB Journal, 10:334-350, 2001.
21. WordNet: http://www.cogsci.princeton. edu
22. S. Wu and U. Manber. Fast Text Searching Allowing Errors. Communications of the ACM, 35(10):83-91, October 1992.