Merging Models Based on Given Correspondences
By Rachel Pottinger, Philip A. Bernstein. Very Large Data Bases Conference, 2003
327 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications, Information Systems
View Paper: https://www.semanticscholar.org/paper/5f44e911b12afa37059918a924896eeb30d65b8f
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
- Alon Y. Halevy
- Jayant Madhavan
- Pavel Shvaiko
- Jérôme Euzenat
- Erhard Rahm
- Philip A. Bernstein
- AnHai Doan
- Anand Rajaraman
In Computer Networks and Communications
- Jayant Madhavan
- Alon Y. Halevy
- Philip A. Bernstein
- Erhard Rahm
- Jérôme Euzenat
- Pavel Shvaiko
- AnHai Doan
- Anand Rajaraman
In Information Systems
- Jayant Madhavan
- Philip A. Bernstein
- Alon Y. Halevy
- Weiyi Meng
- AnHai Doan
- Clement T. Yu
- Wensheng Wu
- Pavel Shvaiko
Citations in the corpus
- Generic schema matching, ten years later (2011, background): “This can be done by the merge operator, which takes as input two schemas and a mapping between them and returns a merged schema with mappings between the merged schema and the two input schemas [15][59][60][64].”
- An interactive clustering-based approach to integrating source query interfaces on the deep Web (2004, background): “Schema and Interface Matching: There is a large body of works on schema matching and integration [6, 7, 9, 10, 11, 14, 16, 18, 19, 23, 29].”
- Data integration: the teenage years (2006, background): “Some of the operators that have been considered in Model Management include the creation of mappings, inverting and composing mappings [41, 77, 85], merging schemas [93] and schema dif-”