An interactive clustering-based approach to integrating source query interfaces on the deep Web

By Wensheng Wu, Clement T. Yu, AnHai Doan, Weiyi Meng. ACM SIGMOD Conference, 2004

299 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/70696b10a5de3f40101eb38d9d7ddfae45819ec1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Pavel Shvaiko
2. Jérôme Euzenat
3. Alon Y. Halevy
4. Jayant Madhavan
5. Philip A. Bernstein
6. Xin Luna Dong
7. David Ko
8. AnHai Doan

In Computer Networks and Communications

1. Pavel Shvaiko
2. Jérôme Euzenat
3. Jayant Madhavan
4. Alon Y. Halevy
5. Xin Luna Dong
6. Philip A. Bernstein
7. AnHai Doan
8. Cong Yu

In Information Systems

1. Pavel Shvaiko
2. Jérôme Euzenat
3. Jayant Madhavan
4. Xin Luna Dong
5. Philip A. Bernstein
6. Alon Y. Halevy
7. Cong Yu
8. Chia-Hui Chang

Citations in the corpus

• A Survey of Web Information Extraction Systems (2006, background): “A new research topic on integration of search forms has also drawn many attentions [46], [47].”
• Corpus-based schema matching (2005, background): “The intuition for this is that the same concept is never duplicated within one schema (similar to [8, 26]).”
• Ontology Matching (2007, background): “IceQ is an interactive system for matching interfaces on the deep web (Wu et al. 2004).”
• Web-Scale Data Integration: You can afford to Pay as You Go (2007, background): “The schema matching component in P AY G O builds on ideas proposed in earlier matching works such as [10, 22, 23, 26, 34].”