KSL-06-16 + redirect page
Mining Revision History to Assess Trustworthiness of Article Fragments + Has identifier
Mining Revision History to Assess Trustworthiness of Article Fragments + Ksl tr id
| Mining Revision History to Assess Trustworthiness of Article Fragments |
Bibtype
inproceedings
Has publishing details
November,2006
Has title
Mining Revision History to Assess Trustworthiness of Article Fragments
Has where published
Proceedings of the 2nd International Conference on Collaborative Computing: Networking, Applications and Worksharing (collaboratecom'06)
Has year
2006
Title
Mining Revision History to Assess Trustworthiness of Article Fragments
Year
2006
Abstract
Wikis are a type of collaborative reposito … Wikis are a type of collaborative repository system that enables users to create and edit shared content on the web. The popularity and proliferation of Wikis have created a new set of challenges for trust research because the content in a Wiki can be contributed by a wide variety of users and can change rapidly. Nevertheless, most Wikis lack explicit trust management to help users decide how much they should trust an article or a fragment of an article. In this paper, we investigate the dynamic nature of revisions as we explore ways of utilizing revision history to develop an article fragment trust model. We use our model to compute trustworthiness of articles and article fragments. We also augment Wikis with a trust view layer with which users can visually identify text fragments of an article and view trust values computed by our model. d view trust values computed by our model.
Address
Atlanta, Georgia, USA +
Author
Honglei Zeng and Maher A. Alhossaini and Richard Fikes and Deborah L. McGuinness +
Booktitle
Proceedings of the 2nd International Conference on Collaborative Computing: Networking, Applications and Worksharing (collaboratecom'06) +
Has author
Honglei Zeng and Maher A. Alhossaini and Richard Fikes and Deborah L. McGuinness +
Has identifier
Mining Revision History to Assess Trustworthiness of Article Fragments +
Ksl tr id
Mining Revision History to Assess Trustworthiness of Article Fragments +
Month
November +
Process note
NO +
Categories InProceedings +, KSL Technical Report +, Publication +
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