ontoX - a method for ontology-driven information extraction

Authors:
Burcu Yildiz;Silvia Miksch
Affiliations:
Institute for Software Technology and Interactive Systems, Vienna University of Technology, Vienna, Austria;Institute for Software Technology and Interactive Systems, Vienna University of Technology, Vienna, Austria and Department of Information and Knowledge Engineering, Danube University Krems, Krems, ...
Venue:
ICCSA'07 Proceedings of the 2007 international conference on Computational science and its applications - Volume Part III
Year:
2007

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Abstract

Information Extraction (IE) is an important research field within the Artificial Intelligence community, for it tries to extract relevant information out of vast amounts of data. In this paper, we propose an extraction method that utilises the content and pre-defined semantics of ontologies formulated in the Web Ontology Language (OWL) to perform the extraction task. We also propose our method to detect out-of-date constructs in the ontology to suggest changes to the user. After stating the results of our evaluation, we conclude that the use of ontologies in conjunction with IESs can indeed yield feasible results and contribute to the better scalability and portability of the system.