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. Categories and Subject Descriptors H.3.3 [Information Search and Retrieval]: search process General Terms: Algorithms, Experimentation

• Type: Conference
• Year: 2008
• Where: WWW
• Authors: Wei Jin, Rohini K. Srihari, Abhishek Singh
• Keywords: Crucial Initial Step, Google Search Engine, Internet Technology, Process General Terms, WWW 2008