Background We are currently facing a proliferation of heterogeneous biomedical data
sources accessible through various knowledge-based applications. These data are …

The proliferation of biomedical applications, which rely on different knowledge organization
systems, such as ontologies and thesauri raises the issue of the automated identification of …

To successfully integrate biomedical data it is crucial to establish meaningful relationships
between the ontologies used to annotate this data. Recent developments in ontology …

Ontology matching is a critical task to enable interoperability between the numerous life
sciences ontologies with overlapping domains. However, it is a task made difficult by the …

This paper presents a novel background knowledge approach which selects and combines
existing mappings from a given biomedical ontology repository to improve ontology …

Ontology matching is a growing field of research that is of critical importance for the semantic
web initiative. The use of background knowledge for ontology matching is often a key factor …

Abstract To bring the Life Sciences domain closer to a Semantic Web realization it is
fundamental to establish meaningful relations between biomedical ontologies. The …

Due to the recent explosion of the amount of on-line accessible biomedical data and tools,
finding and retrieving the relevant information is not an easy task. The vision of a Semantic …

Ontology matching is the process of finding a set of corre-spondences between the entities
of two or more ontologies representing asimilar domain. POMap++ is an ontology matching …

The biomedical sciences is one of the few domains where ontologies are widely being
developed to facilitate information retrieval and knowledge sharing, but there still remains …