Investigations into Trust for Collaborative Information Repositories: A Wikipedia Case Study

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Citation: Deborah L. McGuinness and Honglei Zeng and Paulo Pinheiro da Silva and Li Ding and Dhyanesh Narayanan and Mayukh Bhaowal. (2006) Investigations into Trust for Collaborative Information Repositories: A Wikipedia Case Study. In Proceedings of the Workshop on the Models of Trust for the Web (MTW'06), May,2006.

Publication inproceedings ( Edit )
type InProceedings
bibtype inproceedings
Bibtex basics
author Deborah L. McGuinness and Honglei Zeng and Paulo Pinheiro da Silva and Li Ding and Dhyanesh Narayanan and Mayukh Bhaowal
title Investigations into Trust for Collaborative Information Repositories: A Wikipedia Case Study
booktitle Proceedings of the Workshop on the Models of Trust for the Web (MTW'06)
address Edinburgh, Scotland
year 2006
month May
Bibtex more
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abstract As collaborative repositories grow in popularity and use, issues concerning the quality and trustworthiness of information grow.Some current popular repositories contain contributions from a wide variety of users, many of which will be unknown to a potential end user. Additionally the content may change rapidly and information that was previously contributed by a known user may be updated by an unknown user. End users are now faced with more challenges as they evaluate how much they may want to rely on information that was generated and updated in this manner. A trust management layer has become an important requirement for the continued growth and acceptance of collaboratively developed and maintained information resources. In this paper, we will describe our initial investigations into designing and implementing an extensible trust management layer for collaborative and/or aggregated repositories of information. We leverage our work on the Inference Web explanation infrastructure and exploit and expand the Proof Markup Language to handle a simple notion of trust. Our work is designed to support representation, computation, and visualization of trust information.We have grounded our work in the setting of Wikipedia. In this paper, we present our vision, expose motivations, relate work to date on trust representation, and present a trust computation algorithm with experimental results. We also discuss some issues encountered in our work that we found interesting.

KSL Technical Report ID: KSL-06-05
Facts about Investigations into Trust for Collaborative Information Repositories: A Wikipedia Case StudyRDF feed
Abstract As collaborative repositories grow in popu As collaborative repositories grow in popularity and use, issues concerning the quality and trustworthiness of information grow.Some current popular repositories contain contributions from a wide variety of users, many of which will be unknown to a potential end user. Additionally the content may change rapidly and information that was previously contributed by a known user may be updated by an unknown user. End users are now faced with more challenges as they evaluate how much they may want to rely on information that was generated and updated in this manner. A trust management layer has become an important requirement for the continued growth and acceptance of collaboratively developed and maintained information resources. In this paper, we will describe our initial investigations into designing and implementing an extensible trust management layer for collaborative and/or aggregated repositories of information. We leverage our work on the Inference Web explanation infrastructure and exploit and expand the Proof Markup Language to handle a simple notion of trust. Our work is designed to support representation, computation, and visualization of trust information.We have grounded our work in the setting of Wikipedia. In this paper, we present our vision, expose motivations, relate work to date on trust representation, and present a trust computation algorithm with experimental results. We also discuss some issues encountered in our work that we found interesting. red in our work that we found interesting.
Address Edinburgh, Scotland  +
Author Deborah L. McGuinness and Honglei Zeng and Paulo Pinheiro da Silva and Li Ding and Dhyanesh Narayanan and Mayukh Bhaowal  +
Bibtype inproceedings  +
Booktitle Proceedings of the Workshop on the Models of Trust for the Web (MTW'06)  +
Has author Deborah L. McGuinness and Honglei Zeng and Paulo Pinheiro da Silva and Li Ding and Dhyanesh Narayanan and Mayukh Bhaowal  +
Has identifier KSL-06-05  +
Has publishing details May,2006  +
Has title Investigations into Trust for Collaborative Information Repositories: A Wikipedia Case Study  +
Has where published Proceedings of the Workshop on the Models of Trust for the Web (MTW'06)  +
Has year 2006  +
Ksl tr id KSL-06-05  +
Month May  +
Process note NO  +
Title Investigations into Trust for Collaborative Information Repositories: A Wikipedia Case Study  +
Year 2006  +
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