Ontologies have become a popular means of knowledge sharing and reuse. This has
motivated the development of large-sized independent ontologies within the same or …

Background One of the longest running tracks in the Ontology Alignment Evaluation Initiative
is the Anatomy track which focuses on aligning two anatomy ontologies. The Anatomy track …

Ontology matching is an integral part for establishing semantic interoperability. One of the
main challenges within the ontology matching operation is semantic heterogeneity, ie …

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 …

In order to perform ontology matching with high accuracy, while at the same time retaining
applicability to most diverse input ontologies, the matching process generally incorporates …

Ontology matching is an effective method to establish interoperability between
heterogeneous ontologies. Artificial neural networks are powerful computational models …

Accessing or integrating data lexicalized in different languages is a challenge. Multilingual
lexical resources play a fundamental role in reducing the language barriers to map concepts …

Large amount of data coming from different sources and formats is available on the web
which generates heterogeneity problem. Semantic web technologies play an important role …

Today is the era of intelligence in machines. With the advances in Artificial Intelligence,
machines have started to impersonate different human traits, a chatbot is the next big thing …

Ontologies have become a popular means of knowledge sharing and reuse. This has
motivated development of large independent ontologies within the same or different …