Information extraction from concise passages of natural language sources

Authors:
Sandi Pohorec;Mateja Verlič;Milan Zorman
Affiliations:
University of Maribor, Faculty of Electrical Engineering and Computer Science, Maribor, Slovenia;University of Maribor, Faculty of Electrical Engineering and Computer Science, Maribor, Slovenia;University of Maribor, Faculty of Electrical Engineering and Computer Science, Maribor, Slovenia
Venue:
ADBIS'10 Proceedings of the 14th east European conference on Advances in databases and information systems
Year:
2010

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Abstract

This paper will present a semi-automated approach for information extraction for ontology construction. The sources used are short news extracts syndicated online. These are used because they contain short passages which provide information in a concise and precise manner. The shortness of the passage significantly reduces the problems of word sense disambiguation. The main goal of knowledge extraction is a semi-automated approach to ontology construction.