MAFRA - A MApping FRAmework for Distributed Ontologies
By Alexander Maedche, Boris Motik, Nuno Silva, R. Volz. International Conference Knowledge Engineering and Knowledge Management, 2002
458 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications, Information Systems
View Paper: https://www.semanticscholar.org/paper/9098ee2fd2f38930a8cf38728e49cd059ea562cb
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
- Diego Calvanese
- Domenico Lembo
- Giuseppe De Giacomo
- Riccardo Rosati
- Antonella Poggi
- Maurizio Lenzerini
In Computer Networks and Communications
- Diego Calvanese
- Pavel Shvaiko
- Jérôme Euzenat
- Domenico Lembo
- Riccardo Rosati
- Giuseppe De Giacomo
- Antonella Poggi
- Maurizio Lenzerini
In Information Systems
- Pavel Shvaiko
- Jérôme Euzenat
- Diego Calvanese
- Kunal Verma
- John A. Miller
- Steffen Staab
- Natasha Noy
- Alexander Maedche
Citations in the corpus
- Semantic integration: a survey of ontology-based approaches (2004, methodology): “The mapping ontology by Crubézy and colleagues [4] or the Semantic Bridge Ontology of the MAFRA framework [18], for instance, define the structure of specific mappings and the transformation functions to transfer instances from one ontology to another.”
- Measuring Similarity between Ontologies (2002, background): “Third, the measures proposed within this paper have shown to be very useful for supporting the discovery of mappings between two ontologies (see [6]).”
- Web Service Semantics - WSDL-S (2005, background): “E Instances in an of mappings: [ MMSV02 ], [CM03].”
- A Survey of Schema-Based Matching Approaches (2005, unknown): “Some examples are Chimaera [49], OntoMerge [24], Rondo [51], MAFRA [47], Protoplasm [8].”
- Ontology Matching (2007, background): “MAFRA (Pinto da Silva 2004; Mädche et al. 2002) stands for MApping FRAmework1 (see also Sect.”
- Linking Data to Ontologies (2008, methodology): “MAFRA [23] is a system that allows one to extract mappings from ontologies, and to use them for the transformation of data between ontologies.”