The Web Science Trust

Trust, but Verify: Trusted Data Sharing in Long-tail Collaborative Science on the Semantic Web

Gamble, Matthew and Goble, C (2010) Trust, but Verify: Trusted Data Sharing in Long-tail Collaborative Science on the Semantic Web. In: Proceedings of the Royal Society Discussion Meeting 'Web Science: A New Frontier', 29/30th September 2010, London, UK. (Unpublished)

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Abstract

The aim of this research is to investigate the application of computational trust techniques to facilitate the sharing of semantically rich scientific resources in the open Semantic Web. As scientific practice continues to shift to the Web, users must make decisions regarding the trustworthiness of content, people and services in a large scale, distributed and anonymous system where there is a wide spectrum of moderation and control.

Item Type:Conference or Workshop Item (Poster)
Web Science Comments:
Subjects:Web Science Events > Royal Society Discussion Meeting "Web Science: A New Frontier"€™
ID Code:417
Deposited By: W S T Administrator
Deposited On:30 Sep 2010 10:53
Last Modified:25 Oct 2011 17:04

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