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Automatic Construction of a Semantic, Domain-Independent Knowledge Base
David Urbansky
University of Technology Dresden, Department of Computer Sciencedavid.urbansky@tu-dresden.de
Abstract. In this paper, we want to show which difficulties arise when automatically constructing a domain-independent knowledge base from the web. We show possible applications for such a knowledge base to emphasize its importance. Current knowledge bases often use manually-built patterns for extraction and quality assurance which does not scale well. Our contribution to the community will be a technique to automatically assess extracted information to ensure high quality of the information and a method of how the knowledge base can be kept up to date. The research builds upon the existing WebKnox system for Web Knowledge Extraction which is able to extract named entities and facts from the web. This is a position paper.
LNCS 5872, p. 800 ff.
lncs@springer.com
© Springer-Verlag Berlin Heidelberg 2009