Text Knowledge Engineering By Qualitative Terminological Learning

We propose a methodology for enhancing domain knowledge bases through natural language text understanding. The acquisition of previously unknown concepts is based on the assessment of the "quality" of linguistic and conceptual evidence underlying the generation and refinement of concept hypotheses. Text understanding and concept learning are both grounded on a terminological knowledge representation and reasoning framework. Appeared in: A.Hameurlain & A.M.Tjoa (Eds.), Database and Expert Systems Applications. Proc. of the 8th Intl. Conference - DEXA '97. Toulouse, France, September 1-5, 1997. Berlin etc.: Springer, 1997, pp.623-632 (LNCS, 1308). andExpert-4036 DEXA'97.488-570 Springer,1997,, 11488 2 1308). Text Knowledge Engineering by Qualitative Terminological Learning Udo Hahn & Klemens Schnattinger L F Computational Linguistics Lab -- Text Knowledge Engineering Group Freiburg University, Werthmannplatz 1, D-79085 Freiburg, Germany http://www.coling.uni-freiburg.de/ Abstract. W..