In this paper, we present MELT-ML, a machine learning extension to the Matching and
EvaLuation Toolkit (MELT) which facilitates the application of supervised learning for …

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 this paper, we describe a new trend analysis and forecasting method (Deflexor), which is
intended to help inform decisions in almost any field of human social activity, including, for …

The schema matching task is an integral part of the data integration process. It is usually the
first step in integrating data. Schema matching is typically very complex and time …

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 …

In this paper, we present MELT-ML, a machine learning extension to the Matching and
EvaLuation Toolkit (MELT) which facilitates the application of supervised learning for …

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

Although a considerable body of research work has addressed the problem of ontology
matching, few studies have tackled the large ontologies used in the biomedical domain. We …