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. © 2010 Springer-Verlag.
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CITATION STYLE
Pohorec, S., Verlič, M., & Zorman, M. (2010). Information extraction from concise passages of natural language sources. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6295 LNCS, pp. 463–474). https://doi.org/10.1007/978-3-642-15576-5_35
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