Schema Matching across Web Query Interfaces

Overview

This task matches query schemas across different Web query interfaces for sources in the same domain. Such schema matching is critical for integrating heterogeneous information sources, to enable query mediation. As searchable sources proliferate on the Web, there are often many sources that provide structured information in the same domains (e.g., books and automobiles). Integrating these sources is important because they often provide either alternative or complementary information of the same kind. The goal of this task is to, given many query interfaces from sources in the same domain, discover attribute matching across these sources.

Results

Performers: Bin He, Kevin Chen-Chuan Chang
Dataset Used: BAMM Extracted Query Schemas
References:
- Statistical Schema Matching across Web Query Interfaces. B. He and K. C.-C. Chang. In Proceedings of the 2003 ACM SIGMOD Conference (SIGMOD 2003), San Diego, California, June 2003. [PDF]
Performers: Wensheng Wu, Clement Yu, AnHai Doan, Weiyi Meng
Dataset Used: ICQ Query Interfaces
References:
- An Interactive Clustering-based Approach to Integrating Source Query interfaces on the Deep Web. W. Wu, C. Yu, A. Doan, and W. Meng. In Proceedings of the 2004 ACM SIGMOD Conference (SIGMOD 2004), Paris, France, June 2004.
Performers: Bin He, Kevin Chen-Chuan Chang, Jiawei Han
Dataset Used: TEL-8 Query Interfaces, BAMM Extracted Query Schemas
References:
- Discovering Complex Matchings across Web Query Interfaces: A Correlation Mining Approach. B. He, K. C.-C. Chang, and J. Han. In Proceedings of the 2004 ACM SIGKDD Conference (KDD 2004) (Full Paper), Seattle, Washington, August 2004. [PDF]

Back to repository