Composing Mappings Among Data Sources
By Jayant Madhavan, Alon Y. Halevy. Very Large Data Bases Conference, 2003
299 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications, Signal Processing
View Paper: https://www.semanticscholar.org/paper/10ee2e5735a350f6b13f10fe6ba6f68530a4acab
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
- Pavel Shvaiko
- Jérôme Euzenat
- Phokion G. Kolaitis
- Alon Y. Halevy
- Xin Luna Dong
- Cong Yu
- Wang Chiew Tan
- Lucian Popa
In Computer Networks and Communications
- Pavel Shvaiko
- Jérôme Euzenat
- Phokion G. Kolaitis
- Alon Y. Halevy
- Xin Luna Dong
- Wang Chiew Tan
- Cong Yu
- Lucian Popa
In Signal Processing
- Phokion G. Kolaitis
- Pavel Shvaiko
- Jérôme Euzenat
- Xin Luna Dong
- Cong Yu
- Alon Y. Halevy
- Lucian Popa
- Ronald Fagin
Citations in the corpus
- 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-”
- Composing schema mappings: second-order dependencies to the rescue (2004, background): “The semantics of the composition operator proposed by Madhavan and Halevy [17] is a significant first step, but it suffers from certain drawbacks that seem to be caused by the fact that this semantics is given relative to a class of queries.”
- Schema mappings, data exchange, and metadata management (2005, background): “Madhavan and Halevy [25] were the first to propose and investigate a precise semantics for the composition operator.”
- Ten Challenges for Ontology Matching (2008, background): “In database schema matching, the notion of mapping composition is prominent and has been thoroughly investigated [3, 55].”
- Data integration with uncertainty (2007, background): “Composition and inversion of mappings have received significant attention recently [5,10,12,26] because they are fundamental operations on mappings and they are important for data exchange, integration and peer data management.”