In order to achieve interoperability of information in the context of the Semantic Web, it is
necessary to find effective ways to align different ontologies. As the number of ontologies …

Biodiversity research studies the variability and diversity of organisms, including variability
within and between species with particular focus on the functional diversity of traits and their …

POMap++ is a novel ontology matching system based on a machine learning approach. This
year is the second participation of POMap++ in the Ontology Alignment Evaluation Initiative …

In the last decade, a remarkable number of Knowledge Graphs (KGs) were developed, such
as DBpedia, NELL and Google knowledge graph. These KGs are the core of many web …

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

An increasing number of ontologies demand the interoperability between them in order to
gain accurate information. The ontology heterogeneity also makes the interoperability …

Abstract ontology matching (OM) is a critical process for many disciplines. It aims at
identifying the semantic correspondences among different ontologies that are merged for …

In the last decade, a remarkable number of open Knowledge Graphs (KGs) were developed,
such as DBpedia, NELL, and YAGO. While some of such KGs are curated via crowdsourcing …

Анотація В роботі наведено результати досліджень встановлення відповідності
складових довіри до інтелектуальних інформаційних систем на основі онтології та …

Ontology matching systems commonly leverage linguistic metrics to establish mappings
between entities within the ontologies undergoing alignment. However, due to the absence …