Paper Info
Title
A framework for corroborating answers from multiple web sources
Abstract
Search engines are increasingly efficient at identifying the best sources for any given keyword query, and are often able to identify the answer within the sources. Unfortunately, many web sources are not trustworthy, because of erroneous, misleading, biased, or outdated information. In many cases, users are not satisfied with the results from any single source. In this paper, we propose a framework to aggregate query results from different sources in order to save users the hassle of individually checking query-related web sites to corroborate answers. To return the best answers to the users, we assign a score to each individual answer by taking into account the number, relevance and originality of the sources reporting the answer, as well as the prominence of the answer within the sources, and aggregate the scores of similar answers. We conducted extensive qualitative and quantitative experiments of our corroboration techniques on queries extracted from the TREC Question Answering track and from a log of real web search engine queries. Our results show that taking into account the quality of web pages and answers extracted from the pages in a corroborative way results in the identification of a correct answer for a majority of queries.
Year
DOI
Venue
2011
10.1016/j.is.2010.08.008
Inf. Syst.
Keywords
DocType
Volume
query-related web site,web page,best answer,web source,similar answer,best source,corroborating answer,aggregate query result,multiple web source,individual answer,correct answer,real web search engine,mean reciprocal rank,web search engine,search engine,web pages,precision,question answering,satisfiability
Journal
36
Issue
ISSN
Citations 
2
Information Systems
12
PageRank 
References 
Authors
0.73
49
2
Name
Order
Citations
PageRank
Minji Wu12069.84
Amélie Marian2128077.92