Consuming Linked Closed Data


Cobden, Marcus, Black, Jennifer, Gibbins, Nicholas and Shadbolt, Nigel (2010) Consuming Linked Closed Data. (Submitted)

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Description/Abstract

The growth of the Linked Data corpus will eventually pre- vent all but the most determined of consumers from including every Linked Dataset in a single undertaking. In addition, we anticipate that the need for effective revenue models for Linked Data publishing will spur the rise of Linked Closed Data, where access to datasets is restricted. We argue that these impeding changes necessitate an overhaul of our current practices for consuming Linked Data. To this end, we propose a model for consuming Linked Data, built on the notion of continuous Information Quality assessment, which brings together a range of existing research and highlights a number of avenues for future work.

Item Type: Monograph (Technical Report)
Keywords: Semantic Web, Linked Data, Consuming Linked Data, Linked Closed Data,
Divisions: Faculty of Physical and Applied Science > Electronics and Computer Science > Web & Internet Science
Item ID: 271686
Date Deposited: 10 Nov 2010 12:27
Last Modified: 01 Mar 2012 12:06
Contributors: Cobden, Marcus (Author)
Black, Jennifer (Author)
Gibbins, Nicholas (Author)
Shadbolt, Nigel (Author)
Date: 4 September 2010
Status: Submitted
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/271686

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