An ontology typically provides a vocabulary describing a domain of interest and a
specification of the meaning of terms in that vocabulary. Depending on the precision of this …

Existing ontology matching algorithms use a combination of lexical and structural
correspondence between source and target ontologies. We present a realistic case-study …

Discovering map**s between concept hierarchies is widely regarded as one of the
hardest and most urgent problems facing the Semantic Web. The problem is even harder in …

Background Ontologies are increasingly used to structure and semantically describe entities
of domains, such as genes and proteins in life sciences. Their increasing size and the high …

The ontology alignment consists in generating a set of correspondences between entities.
These entities can be concepts, properties or instances. The ontology alignment is an …

Ontology matching consists of finding correspondences between ontology entities. OAEI
campaigns aim at comparing ontology matching systems on precisely defined test sets. Test …

Matching hierarchical structures, like taxonomies or web directories, is the premise for
enabling interoperability among heterogenous data organizations. While the number of new …

This paper presents a new framework for the ontology map** problem. We organized the
ontology map** problem into a standard machine learning framework, which uses …

Recently, the number of ontology matching techniques and systems has increased
significantly. This makes the issue of their evaluation and comparison more severe. One of …

Finding map**s between compatible ontologies is an important but difficult open problem.
Instance-based methods for solving this problem have the advantage of focusing on the …