Document Type
Conference Proceeding
Publication Date
6-1-2007
Abstract
State-of-the-art research on automated learning of ontologies from text currently focuses on inexpressive ontologies. The acquisition of complex axioms involving logical connectives, role restrictions, and other expressive features of the Web Ontology Language OWL remains largely unexplored. In this paper, we present a method and implementation for enriching inexpressive OWL ontologies with expressive axioms which is based on a deep syntactic analysis of natural language definitions. We argue that it can serve as a core for a semi-automatic ontology engineering process supported by a methodology that integrates methods for both ontology learning and evaluation. The feasibility of our approach is demonstrated by generating complex class descriptions from Wikipedia definitions and from a fishery glossary provided by the Food and Agriculture Organization of the United Nations.
Repository Citation
Volker, J.,
Hitzler, P.,
& Cimiano, P.
(2007). Acquisition of OWL DL Axioms from Lexical Resources. Lecture Notes in Computer Science, 4519, 670-685.
https://corescholar.libraries.wright.edu/cse/89
DOI
10.1007/978-3-540-72667-8_47
Included in
Bioinformatics Commons, Communication Technology and New Media Commons, Databases and Information Systems Commons, OS and Networks Commons, Science and Technology Studies Commons
Comments
Presented at the 4th European Semantic Web Conference, Innsbruck, Austria, June 3-7, 2007.
Attached is the unpublished, authors' version of this proceeding. The final, publisher's version can be found at http://dx.doi.org/10.1007/978-3-540-72667-8_47.