After years of research on ontology matching, it is reasonable to consider several questions:
is the field of ontology matching still making progress? Is this progress significant enough to …

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 …

Entity Resolution (ER) lies at the core of data integration and cleaning and, thus, a bulk of
the research examines ways for improving its effectiveness and time efficiency. The initial …

Geographic knowledge bases (GKBs) with multiple sources and forms are of obvious
heterogeneity, which hinders the integration of geographic knowledge. Entity alignment …

The difficulty of an entity matching task depends on a combination of multiple factors such as
the amount of corner-case pairs, the fraction of entities in the test set that have not been …

The Ontology Alignment Evaluation Initiative (OAEI) aims at comparing ontology matching
systems on precisely defined test cases. These test cases can be based on ontologies of …

In this paper, we describe our probabilistic-logical alignment system CODI (Combinatorial
Optimization for Data Integration). The system provides a declarative framework for the …

Ontology matching consists of finding correspondences between semantically related
entities of two ontologies. OAEI campaigns aim at comparing ontology matching systems on …

This article presents an unsupervised system that performs instance matching between
entities in schema-free Resource Description Framework (RDF) files. Rather than relying on …

The OAEI Benchmark test set has been used for many years as a main reference to evaluate
and compare ontology matching systems. However, this test set has barely varied since …