IWTrust: Improving User Trust in Answers from the Web

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Citation: Ilya Zaihrayeu and Paulo Pinheiro da Silva and Deborah L. McGuinness. (2004) IWTrust: Improving User Trust in Answers from the Web. In KSL-04-08, 2004.

Publication techreport ( Edit )
type Technical Report
bibtype techreport
Bibtex basics
author Ilya Zaihrayeu and Paulo Pinheiro da Silva and Deborah L. McGuinness
title IWTrust: Improving User Trust in Answers from the Web
number KSL-04-08
institution Knowledge Systems, AI Laboratory
address Rocquencourt, France, 2005.
year 2004
Bibtex more
Access Paper
abstract Question answering systems users may find answers without any supporting information insufficient for determining trust levels. Once those question answering systems begin to rely on source information that varies greatly in quality and depth, such as is typical in web settings, users may trust answers even less. We address this problem by augmenting answers with optional information about the sources that were used in the answer generation process. In addition, we introduce a trust infrastructure, IWTrust, which enables computations of trust values for answers from the Web. Users of IWTrust have access to sources used in answer computation along with trust values for those source, thus they are better able to judge answer trustworthiness. Our work builds upon existing Inference Web components for representing and maintaining proofs and proof related information justifying answers. It includes a new TrustNet component for managing trust relations and for computing trust values. This paper also introduces the Inference Web answer trust computation algorithm and presents an example of its use for ranking answers and justifications by trust.

KSL Technical Report ID: KSL-04-08
Facts about IWTrust: Improving User Trust in Answers from the WebRDF feed
Abstract Question answering systems users may find … Question answering systems users may find answers without any supporting information insufficient for determining trust levels. Once those question answering systems begin to rely on source information that varies greatly in quality and depth, such as is typical in web settings, users may trust answers even less. We address this problem by augmenting answers with optional information about the sources that were used in the answer generation process. In addition, we introduce a trust infrastructure, IWTrust, which enables computations of trust values for answers from the Web. Users of IWTrust have access to sources used in answer computation along with trust values for those source, thus they are better able to judge answer trustworthiness. Our work builds upon existing Inference Web components for representing and maintaining proofs and proof related information justifying answers. It includes a new TrustNet component for managing trust relations and for computing trust values. This paper also introduces the Inference Web answer trust computation algorithm and presents an example of its use for ranking answers and justifications by trust. nking answers and justifications by trust.
Address Rocquencourt, France, 2005.  +
Author Ilya Zaihrayeu and Paulo Pinheiro da Silva and Deborah L. McGuinness  +
Bibtype techreport  +
Has author Ilya Zaihrayeu and Paulo Pinheiro da Silva and Deborah L. McGuinness  +
Has identifier KSL-04-08  +
Has publishing details 2004  +
Has title IWTrust: Improving User Trust in Answers from the Web  +
Has where published KSL-04-08  +
Has year 2004  +
Institution Knowledge Systems, AI Laboratory  +
Ksl tr id KSL-04-08  +
Number KSL-04-08  +
Process note YES  +
Title IWTrust: Improving User Trust in Answers from the Web  +
Year 2004  +
Retrieved from "http://tw.rpi.edu/wiki/IWTrust:_Improving_User_Trust_in_Answers_from_the_Web"
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