Instance-based ontology mapping is a promising family of solutions to a class of ontology alignment problems. It crucially depends on measuring the similarity between sets of annot...
Antoine Isaac, Lourens van der Meij, Stefan Schlob...
Ontologies are heavily used in life sciences so that there is increasing value to match different ontologies in order to determine related conceptual categories. We propose a simpl...
The article describes a method combining two widely-used empirical approaches to learning from examples: rule induction and instance-based learning. In our algorithm (RIONA) decisi...
One of the pre-requisites for the realization of the Semantic Web vision are matching techniques which are capable of handling the open, dynamic and heterogeneous nature of the se...
Here is discussed how to construct domain ontologies with both taxonomic and non-taxonomic conceptual relationships, exploiting a machinereadable dictionary (MRD) and domain-speci...