Computing Trust from Revision History

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Citation: Zeng, H., Alhossaini, M., Ding, L., Fikes, R., and McGuinness, D.L. 2006. Computing Trust from Revision History. In Proceedings of PST 2006 (October 30-November 1 2006, Markham, Ontario, Canada).

Presented at the PST 2006


A new model of distributed, collaborative information evolution is emerging. As exemplified in Wikipedia, online collaborative information repositories are being generated, updated, and maintained by a large and diverse community of users. Issues concerning trust arise when content is generated and updated by diverse populations. Since these information repositories are constantly under revision, trust determination is not simply a static process. In this paper, we explore ways of utilizing the revision history of an article to assess the trustworthiness of the article. We then present an experiment where we used this revision history-based trust model to assess the trustworthiness of a chain of successive versions of articles in Wikipedia and evaluated the assessments produced by the model.


DateCreated ByLink
July 18, 2011
Ping WangDownload

Related Projects:

Inference Web Project LogoInference Web
Principal Investigator: Deborah L. McGuinness
Description: The Inference Web is a Semantic Web based knowledge provenance infrastructure that supports interoperable explanations of sources, assumptions, learned information, and answers as an enabler for trust. Provenance - if users (humans and agents) are to use and integrate data from unknown, uncertain, or multiple sources, they need provenance metadata for evaluation Interoperability - more systems are using varied sources and multiple information manipulation engines, thus increasing interoperability requirements Explanation/Justification - if information has been manipulated (i.e., by sound deduction or by heuristic processes), information manipulation trace information should be available Trust - if some sources are more trustworthy than others, trust ratings are desired The Inference Web consists of two important components: Proof Markup Language (PML) Ontology - Semantic Web based representation for exchanging explanations including provenance information - annotating the sources of knowledge justification information - annotating the steps for deriving the conclusions or executing workflows trust information - annotating trustworthiness assertions about knowledge and sources IW Toolkit - Web-based and standalone tools that facilitate human users to browse, debug, explain, and abstract the knowledge encoded in PML.

Related Research Areas:

Inference And Trust
Lead Professor: Deborah L. McGuinness
Description: Inference And Trust
Concepts: Semantic Web
Knowledge Provenance
Lead Professor: Deborah L. McGuinness
Description: Knowledge Provenance
Concepts: Provenance, Semantic Web