The main goal of this paper is to describe a general approach to the problem of
understanding linguistic phenomena, as they appear in lexical semantics, through the …

We present CogNet, a large-scale, automatically-built database of sense-tagged cognates—
words of common origin and meaning across languages. CogNet is continuously evolving …

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

This paper introduces CogNet, a new, large-scale lexical database that provides cognates—
words of common origin and meaning—across languages. The database currently contains …

We present a large scale multilingual lexical resource, the Universal Knowledge Core
(UKC), which is organized like a Wordnet with, however, a major design difference. In the …

Semantic Heterogeneity is the problem which arises when multiple resources present
differences in how they represent the same real world phenomenon. In KR, an early …

A common solution to the semantic heterogeneity problem is to perform knowledge graph
(KG) extension exploiting the information encoded in one or more candidate KGs, where the …

We propose a novel approach to the problem of semantic heterogeneity where data are
organized into a set of stratified and independent representation layers, namely: conceptual …

As a result of the rapid changes in information and communication technology (ICT), the
world has become a small village where people from all over the world connect with each …

The development of intelligent transportation systems (ITSs) faces the challenge of
integrating data from multiple unrelated sources. As one of the core technologies of …