Both conceptual modeling and machine learning have long been recognized as important
areas of research. With the increasing emphasis on digitizing and processing large amounts …

This paper is a comprehensive description of our proposal of ontology alignment framework
and novel evaluation procedure. The main contribution is providing precise definitions of …

With the advent of Semantic Web and the recent advances in the field of knowledge
discovery more effort is placed not only on constructing or automatically discovering …

Nowadays, due to the high level of data distribution, it is frequently impossible to generate a
unified representation of a variety of heterogenous data sources in a single step. Dividing …

Ontology alignment, although widely researched and discussed, has still some issues that
need addressing. One of those is designating alignments of relations defined in two …

The widely addressed topic of ontology alignment to this day contains several open
research questions that remain either unanswered or only vaguely tackled. One of them is …

In this article, a method for ontology alignment, which is based on using semantics of
attributes describing concepts, is presented. This work is an extended version of our …

In order to achieve high data rates in future wireless packet switched cellular networks,
aggressive frequency reuse is inevitable due to the scarcity of the radio resources. While …

The problem of ontology alignment is based on finding mappings between instances,
concepts and relations of two ontologies which (following Gruber's work [8]) can be defined …

Ontology alignment is an issue that focuses on designating the way of migrating the contents
of two ontologies. These structures can be treated as a method of decomposing some …