Skip to main navigation Skip to search Skip to main content

Generating hypotheses from the web

  • SUNY Buffalo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

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.

Original languageEnglish
Title of host publicationProceeding of the 17th International Conference on World Wide Web 2008, WWW'08
Pages1211-1212
Number of pages2
DOIs
StatePublished - 2008
Event17th International Conference on World Wide Web 2008, WWW'08 - Beijing, China
Duration: Apr 21 2008Apr 25 2008

Publication series

NameProceeding of the 17th International Conference on World Wide Web 2008, WWW'08

Conference

Conference17th International Conference on World Wide Web 2008, WWW'08
Country/TerritoryChina
CityBeijing
Period04/21/0804/25/08

Keywords

  • Hypothesis generation
  • Link analysis
  • Web search

Fingerprint

Dive into the research topics of 'Generating hypotheses from the web'. Together they form a unique fingerprint.

Cite this