Generating Hypotheses from the Web
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.
web search link analysis hypothesis generation
Wei Jin Rohini K. Srihari Abhishek Singh
Dept. Of Computer Science & Engineering University of Buffalo, SUNY Dept. Of Computer Science & Engineering University at Buffalo, SUNY
国际会议
第十七届国际万维网大会(the 17th International World Wide Web Conference)(WWW08)
北京
英文
2008-04-21（万方平台首次上网日期，不代表论文的发表时间）