Generating hypotheses from the web

Authors:
Wei Jin;Rohini Srihari;Abhishek Singh
Affiliations:
State University of New York at Buffalo, Buffalo, USA;State University of New York at Buffalo, Buffalo, USA;State University of New York at Buffalo, Buffalo, USA
Venue:
Proceedings of the 17th international conference on World Wide Web
Year:
2008

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Abstract

Hypothesis generation is a crucial initial step for making scientific discoveries. This paper addresses the problem of automatically discovering interesting hypotheses from the web. Given a query containing one or two entities of interest, our algorithm automatically generates a semantic profile describing the specified entity or provides the potential connections between two entities of interest. We implemented a prototype on top of the Google search engine and the experimental results demonstrate the effectiveness of our algorithms.