Ontology Alignment Evaluation Initiative: Six Years of Experience
By Jérôme Euzenat, Christian Meilicke, Heiner Stuckenschmidt, Pavel Shvaiko, Cássia Trojahn dos Santos. Journal on Data Semantics, 2011
318 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/9811ffb5adebbd0037bf48644cd52379ea101380
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
- Cássia Trojahn dos Santos
- Heiko Paulheim
- Bernardo Cuenca Grau
- Ernesto Jiménez-Ruiz
- Isabel F. Cruz
- Bilal Abu-Salih
In Molecular Biology
- Jérôme Euzenat
- Pavel Shvaiko
- Ernesto Jiménez-Ruiz
- Bernardo Cuenca Grau
- Heiko Paulheim
- Bilal Abu-Salih
- Petar Ristoski
Citations in the corpus
- LogMap: Logic-Based and Scalable Ontology Matching (2011, methodology): “– In the case of Mouse-NCIAnat we obtained an F-score in line with the best systems in the 2010 OAEI competition [8].”
- The AgreementMakerLight Ontology Matching System (2013, background): “The Ontology Alignment Evaluation Initiative (OAEI) is an annual competition that provides a benchmark evaluation for ontology alignment systems [12].”
- Ontology Matching (2007, background): “in (Euzenat et al. 2011; Aguirre et al. 2012) and full details are on the OAEI web site.”
- Ontology Matching: State of the Art and Future Challenges (2013, background): “This request is a set of terms covering spatial ( Trento ) and temporal ( January 2011 ) aspects to be addressed while looking for a specific theme, that is of hydrogra-phy .”
- Results of the Ontology Alignment Evaluation Initiative 2014 (2014, background): “The Ontology Alignment Evaluation Initiative1 (OAEI) is a coordinated international initiative, which organizes the evaluation of the increasing number of ontology matching systems [12, 15].”