Information used in existing ontology matching solutions are usually grouped into four
categories: lexical information, structural information, semantic information, and external …

Taxonomy merging is an important work to provide a uniform schema for several
heterogeneous taxonomies. Previous studies primarily focus on merging two taxonomies in …

Abstract Knowledge Graphs have emerged as a core technology to aggregate and publish
knowledge on the Web. However, integrating knowledge from different sources, not …

This paper presents an approach for matching foundational ontologies involving
subsumption relations. The approach relies on extracting hypernym relations from ontology …

Using intelligent techniques to automatically compute semantic relationships across
ontologies is a challenging task that is necessary in many real-world applications requiring …

Knowledge graphs have emerged as a core technology to publish, share, and integrate data
on the Web. Contrary to traditional data storage solutions, such as relational databases, one …

In this paper we apply an ontology matching system in the context of an information
extraction project regarding criminal data. Our data comes from social network, in order to …

Interoperability between different ontologies and their instances is at the core of the
Semantic Web. Ontology matching and instance matching, as distinct tasks, aim at …

The discovery of hyponymy relationships between elements belonging to two different
ontologies is a common task when integrating semantic information from different sources …