Knowledge Systems Laboratory
Abstract: Investigations into Trust for Collaborative Information Repositories: A Wikipedia Case Study
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.
Deborah L. McGuinness, Honglei Zeng, Paulo Pinheiro da Silva, Li Ding, Dhyanesh Narayanan,
and Mayukh Bhaowal.
Investigations into Trust for Collaborative Information Repositories: A Wikipedia Case Study.
Proceedings of the WWW2006 Workshop on
the Models of Trust for the Web (MTW'06),
Edinburgh, Scotland, May 22, 2006.
version is available.
Selected Papers of Deborah L. McGuinness.
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