AgreementMaker: Efficient Matching for Large Real-World Schemas and Ontologies
By Isabel F. Cruz, Flavio Palandri Antonelli, Cosmin Stroe. Proceedings of the VLDB Endowment, 2009
335 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Information Systems, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/1e2281603c94b690db0df65d09779e6ea5470114
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
- Philip A. Bernstein
- Erhard Rahm
- Jayant Madhavan
- Francisco Javier Rodríguez-Martínez
- Lorena Otero-Cerdeira
- Alma María Gómez-Rodríguez
In Information Systems
- Pavel Shvaiko
- Jérôme Euzenat
- Philip A. Bernstein
- Francisco Javier Rodríguez-Martínez
- Lorena Otero-Cerdeira
- Alma María Gómez-Rodríguez
- Jayant Madhavan
- Erhard Rahm
In Molecular Biology
Citations in the corpus
- Ontology Matching: State of the Art and Future Challenges (2013, background): “Specifically, alignments can be used as navigation links within a multi-faceted browser to access a collection via thesauri it was not originally indexed with [30].”
- Generic schema matching, ten years later (2011, methodology): “Figure 2 shows a comparative overview of selected tools: Cupid [45], COMA++ [3][19][20], ASMOV [40], Falcon-AO [39], RiMON [44], AgreementMaker [16], OII Harmony [67].”
- Ontology matching: A literature review (2015, background): “…flow of publications describing its foundations and enhancements: Sunna and Cruz (2007), Cruz, Antonelli, Stroe, Keles, and Maduko (2008), Cruz, Antonelli, and Stroe (2009b) (2009c), Cruz et al. (2010), Pesquita, Stroe, Cruz, and Couto (2010), Cross et al. (2011), Cruz, Stroe, Pesquita,…”