Ontology Mapping - An Integrated Approach
By Marc Ehrig, York Sure-Vetter. ESWS, 2004
514 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Information Systems
View Paper: https://www.semanticscholar.org/paper/05131aad7d4ab312b9b8abe07e6653a2f50f2458
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
- Jérôme Euzenat
- Pavel Shvaiko
- Francisco Javier Rodríguez-Martínez
- Lorena Otero-Cerdeira
- Alma María Gómez-Rodríguez
- Giorgos Stoilos
- Stefanos D. Kollias
- Giorgos B. Stamou
In Information Systems
- Jérôme Euzenat
- Pavel Shvaiko
- Francisco Javier Rodríguez-Martínez
- Lorena Otero-Cerdeira
- Alma María Gómez-Rodríguez
- Giorgos Stoilos
- Stefanos D. Kollias
- Giorgos B. Stamou
Citations in the corpus
- Similarity-Based Ontology Alignment in OWL-Lite (2004, methodology): “The method from [4] follows principles similar to those presented in §4.1 to integrate most of these measures.”
- A String Metric for Ontology Alignment (2005, methodology): “Though some methods that automatically adjust the threshold during runtime exist in literature [15] it cannot be proved that they select the optimum value for threshold each time an alignment is performed.”
- A Survey of Schema-Based Matching Approaches (2005, unknown): “The technique starts from string-based comparison (common prefixes, suffixes tests) of the vertice’s labels to obtain an initial alignment which is re-fined within the fix-point computation.”
- QOM - Quick Ontology Mapping (2004, background): “For NOM they are shown in Table 2.”
- Ontology matching: A literature review (2015, methodology): “This system was developed in the first years of the interval considered in this literature review in 2 papers (Ehrig & Staab, 2004; Ehrig & Sure, 2004).”