Model management 2.0: manipulating richer mappings
By Philip A. Bernstein, Sergey Melnik. ACM SIGMOD Conference, 2007
387 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications, Information Systems
View Paper: https://www.semanticscholar.org/paper/a4f967c20e45f466bd447230a89687384805a97b
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
- Jie Tang
- Qiong Luo
- Yi Li
- Juan-Zi Li
- Cássia Trojahn dos Santos
- Heiner Stuckenschmidt
In Computer Networks and Communications
- Pavel Shvaiko
- Jérôme Euzenat
- Qiong Luo
- Jie Tang
- Yi Li
- Juan-Zi Li
- Heiner Stuckenschmidt
- Cássia Trojahn dos Santos
In Information Systems
- Pavel Shvaiko
- Jérôme Euzenat
- Jie Tang
- Qiong Luo
- Yi Li
- Juan-Zi Li
- Cássia Trojahn dos Santos
- Heiner Stuckenschmidt
Citations in the corpus
- Ontology Matching: State of the Art and Future Challenges (2013, neutral): “This includes scalability of visualization [139] and better user interfaces in general, which are expected to bring higher quality gains than more accurate matching algorithms [140].”
- RiMOM: A Dynamic Multistrategy Ontology Alignment Framework (2009, background): “Its recent work was focused on handling more expressive matching [ 3 ].”
- Ten Challenges for Ontology Matching (2008, background): “This includes scalability of visualization [70] and better user interfaces in general, which are expected to bring big productivity gains; as from [5] even bigger than from more accurate matching algorithms.”