A machine learning approach towards improving internet search with a question-answering system

Authors:
Rainer Spiegel
Affiliations:
Inst. of Med. Psychology, Ludwig-Maximilians-Univ. and Techn. Univ. of Munich, Med. Schools, Germany and Dept. of Experimental Psychology, Univ. of Cambridge, Wolfson College, United Kingdom and D ...
Venue:
CIMMACS'05 Proceedings of the 4th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics
Year:
2005

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Abstract

This paper introduces a prototype to extract common sense knowledge from the World Wide Web. The prototype combines a search engine with an automated database. It works by extracting information from the enormous amount of documents available on the World Wide Web. Two common examples are that men love women and that women love men (bi-directional relationship) or that boys like toys (unidirectional relationship), whilst toys cannot like boys.