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 …

Context-awareness has been recognized as an important enabler for pervasive computing.
Our aim is to provide a thorough survey of the state of the art in context representation and …

Ontologies play a key role in the advent of the Semantic Web. An important problem when
dealing with ontologies is the modification of an existing ontology in response to a certain …

We address the problem of dealing with inconsistencies in Description Logic (DL)
knowledge bases. Our general goal is both to study DL semantical frameworks which are …

Ontology evolution aims at maintaining an ontology up to date with respect to changes in the
domain that it models or novel requirements of information systems that it enables. The …

In the last few years, the Semantic Web gained scientific acceptance as the means of
sharing knowledge in different domains, and the cornerstone of the Semantic Web is …

In this chapter we present a methodology for introducing and maintaining ontology based
knowledge management applications into enterprises with a focus on Knowledge Processes …

With the wider use of ontologies in the Semantic Web and as part of production systems,
multiple scenarios for ontology maintenance and evolution are emerging. For example …

Abstract Knowledge representation and reasoning aims at designing computer systems that
reason about a machine-interpretable representation of the world. Knowledge-based …

Ontology management and maintenance are considered cornerstone issues in current
Semantic Web applications in which semantic integration and ontological reasoning play a …