The amount of research papers published nowadays related to ontology matching is
remarkable and we believe that reflects the growing interest of the research community …

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 …

Ontology matching plays a pivotal role in aligning entities across diverse ontologies,
enhancing interoperability and data exchange. Similarity features are the foundation of …

As a key representation model of knowledge, ontology has been widely used in a lot of NLP
related tasks, such as semantic parsing, information extraction and text mining etc. In this …

Ontology is a foundational technique of Semantic Web, which enables meaningful
interpretation of Web data. However, ontology heterogeneity obstructs the communications …

Ontology provides a formal representation of knowledge as a set of concepts within a
domain and the relationships between them. Ontology Matching (OM) identifies similar …

In this paper we describe a novel proposal in the field of smart cities: using an ontology
matching algorithm to guarantee the automatic information exchange between the agents …

Background: Ontology matching provides a solution to the semantic heterogeneity problem
by finding semantic relationships between entities of ontologies. Over the last two decades …

Ontology matching (OM) is critical for knowledge integration and system interoperability on
the semantic web, tasked with identifying semantically related entities across different …