Information Extraction from Concise Passages of Natural Language Sources

摘要

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.