In recent years, the decentralized development of ontologies has led to the generation of
multiple ontologies of overlapping knowledge. This heterogeneity problem can be tackled by …

Simple ontology alignments, largely studied in the literature, link a single entity of a source
ontology to a single entity of a target ontology. A limitation of these alignments is their lack of …

The growing volume, variety and complexity of data being collected for scientific purposes
presents challenges for data integration. For data to be truly useful, scientists need not only …

AgreementMakerLight (AML) is an automated ontology matching system based primarily on
element-level matching and on the use of external resources as background knowledge …

Background Ontologies are commonly used to annotate and help process life sciences data.
Although their original goal is to facilitate integration and interoperability among …

Ontology matching is the process of finding correspondences between entities from different
ontologies. Whereas the field has fully developed in the last decades, most existing …

Interoperability between different ontologies and their instances is at the core of the
Semantic Web. Ontology matching and instance matching, as distinct tasks, aim at …

Inferring logical definitions using compound ontology matching Page 1 Inferring logical
definitions using compound ontology matching Daniela Oliveira∗ and Catia Pesquita LaSIGE …

Multi-domain areas, such as the biomedical field, routinely employ networks of ontologies to
support applications such as data annotation, integration, search and analysis. These …