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Special Issue on Dataset Profiling and Federated Search for Linked Data: Guest Editorial Preface

Special Issue on Dataset Profiling and Federated Search for Linked Data: Guest Editorial Preface
Special Issue on Dataset Profiling and Federated Search for Linked Data: Guest Editorial Preface
The Web of Data and in particular Linked Open Data (LOD) has seen tremendous growth recently. In just three years, the number of publicly available datasets within the LOD cloud increased by more than three times from 295 datasets in 2011 to over 1000 datasets in 2014 (Schmachtenberg et al., 2014). These datasets cover a wide variety of domains from publications and life sciences to government and user-generated content. Furthermore, significant amounts of data are currently emerging through Web markup languages such as RDFa, Microdata and Microformats. Nevertheless, despite this growth, the actual take up, interlinking and reuse of Web of Data remains limited, and is often focused on well-known reference datasets.
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Demidova, Elena
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Dietze, Stefan
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Breslin, John G.
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Szymański, Julian
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Demidova, Elena
8af7dea2-8dc6-40da-98b4-ea4a6593f2af
Dietze, Stefan
cc247489-f309-42f9-ae9a-5fc48635f0ad
Breslin, John G.
8006667b-ac8d-4eb1-bf97-839d749bfdb6
Szymański, Julian
82f03737-4c29-4a3f-932d-b42849ba4ad7

Demidova, Elena, Dietze, Stefan, Breslin, John G. and Szymański, Julian (2016) Special Issue on Dataset Profiling and Federated Search for Linked Data: Guest Editorial Preface. [in special issue: Dataset Profiling and Federated Search for Linked Data] International Journal on Semantic Web and Information Systems (IJSWIS), 12 (3), 1-5.

Record type: Editorial

Abstract

The Web of Data and in particular Linked Open Data (LOD) has seen tremendous growth recently. In just three years, the number of publicly available datasets within the LOD cloud increased by more than three times from 295 datasets in 2011 to over 1000 datasets in 2014 (Schmachtenberg et al., 2014). These datasets cover a wide variety of domains from publications and life sciences to government and user-generated content. Furthermore, significant amounts of data are currently emerging through Web markup languages such as RDFa, Microdata and Microformats. Nevertheless, despite this growth, the actual take up, interlinking and reuse of Web of Data remains limited, and is often focused on well-known reference datasets.

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Editorial IJSWIS.pdf - Accepted Manuscript
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More information

Accepted/In Press date: 21 April 2016
e-pub ahead of print date: 1 July 2016
Published date: 1 July 2016
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 393242
URI: http://eprints.soton.ac.uk/id/eprint/393242
PURE UUID: 5e1108cb-1925-435b-b64d-30d60c2479c0

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Date deposited: 25 Apr 2016 09:18
Last modified: 06 Oct 2020 18:49

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Contributors

Author: Elena Demidova
Author: Stefan Dietze
Author: John G. Breslin
Author: Julian Szymański

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