Precisely when the success of artificial intelligence (AI) sub-symbolic techniques makes
them be identified with the whole AI by many non-computer-scientists and non-technical …

Ontology learning is the process of acquiring (constructing or integrating) an ontology (semi-
) automatically. Being a knowledge acquisition task, it is a complex activity, which becomes …

Wikidata is the central data management platform of Wikipedia. By the efforts of thousands of
volunteers, the project has produced a large, open knowledge base with many interesting …

In this paper, we present a brief overview of Pellet: a complete OWL-DL reasoner with
acceptable to very good performance, extensive middleware, and a number of unique …

An ontology typically provides a vocabulary describing a domain of interest and a
specification of the meaning of terms in that vocabulary. Depending on the precision of this …

In recent years, the decentralized development of ontologies has led to the generation of
multiple ontologies of overlap** knowledge. This heterogeneity problem can be tackled by …

In this paper, we propose a set of tasks that are relevant for the modular reuse of ontologies.
In order to formalize these tasks as reasoning problems, we introduce the notions of …

This paper aims at analyzing the key trends and challenges of the ontology matching field.
The main motivation behind this work is the fact that despite many component matching …

Ontologies are shared models of a domain that encode a view which is common to a set of
different parties. Contexts are local models that encode a party's subjective view of a …

One of the significant challenges for current and future manufacturing systems is that of
providing rapid reconfigurability in order to evolve and adapt to mass customization. This …