Ontology Learning from text aims at generating domain ontologies from textual resources by applying natural language processing and machine learning techniques. It is inherent in t...
The fast emergent and continuously evolving areas of the Semantic Web and Knowledge Management make the incorporation of ontology engineering tasks in knowledge-empowered organiza...
In many areas of computer science ontologies become more and more important. The use of ontologies for domain modeling often brings up the issue of ontology integration. The task o...
Problems with large monolithical ontologies in terms of reusability, scalability and maintenance have lead to an increasing interest in modularization techniques for ontologies. Cu...
Mathieu d'Aquin, Anne Schlicht, Heiner Stuckenschm...
This paper focuses on the improvement of the conceptual structure of FrameNet for the sake of applying this resource to knowledgeintensive NLP tasks requiring reasoning, such as q...