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Consuming Linked Closed Data

Consuming Linked Closed Data
Consuming Linked Closed Data
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.
Semantic Web, Linked Data, Consuming Linked Data, Linked Closed Data
s.n.
Cobden, Marcus
1f1ce1bd-149e-44fa-9217-c7f821326a97
Black, Jennifer
d2389410-a34b-4aef-a69e-be26081455e0
Gibbins, Nicholas
98efd447-4aa7-411c-86d1-955a612eceac
Shadbolt, Nigel
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7
Cobden, Marcus
1f1ce1bd-149e-44fa-9217-c7f821326a97
Black, Jennifer
d2389410-a34b-4aef-a69e-be26081455e0
Gibbins, Nicholas
98efd447-4aa7-411c-86d1-955a612eceac
Shadbolt, Nigel
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7

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

Record type: Monograph (Project Report)

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.

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More information

Submitted date: 4 September 2010
Keywords: Semantic Web, Linked Data, Consuming Linked Data, Linked Closed Data
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 271686
URI: https://eprints.soton.ac.uk/id/eprint/271686
PURE UUID: e3ea8029-06be-43e7-a963-55bef7f21c0c
ORCID for Nicholas Gibbins: ORCID iD orcid.org/0000-0002-6140-9956

Catalogue record

Date deposited: 10 Nov 2010 12:27
Last modified: 06 Jun 2018 12:55

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