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Track: Posters

Paper Title:
Generating Hypotheses from the Web

Authors:

  • Wei Jin(State University of New York at Buffalo)
  • Rohini Srihari(State University of New York at Buffalo)
  • Abhishek Singh(State University of New York at Buffalo)

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

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