In this paper, we present the capability of our ontology matching tool YAM++. We show that
YAM++ is able to discover mappings between entities of given two ontologies by using …

Several challenges to the field of ontology matching have been outlined in recent research.
The selection of the appropriate similarity measures as well as the configuration tuning of …

The YAM++ system is a self configuration, flexible and extensible ontology matching system.
The key idea behind YAM++ system is based on machine learning and similarity flooding …

Due to the high heterogeneity of ontologies, a combination of many methods is necessary in
order to discover correctly the semantic correspondences between their elements. An …

Ontology matching is a key solution to the semantic heterogeneity problem. It discovers
semantic correspondences between related entities of different ontologies to enable …

In this paper, we present the capability of our ontology matching tool YAM++. We show that
YAM++ is able to discover mappings between entities of given two ontologies by using …

Ontology matching is the process of finding semantic correspondences between entities
from different ontologies. As an effective solution to linking different heterogeneous …

Use of heterogeneous data models in hospital information systems (HIS), obstructs the
integration of clinical decision support system (CDSS) with clinical workflows. The diverse …

We study the task of ontology matching that is used mainly for solving the semantic
heterogeneity problems, which concentrates on finding semantically related entities …

In a heterogeneous multi–communities organisation, several communities or groups of
users exist with their own viewpoints. Multi–viewpoint ontologies are becoming a crucial …