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Grid-enabled data collection and analysis - semantic annotation in skills-based learning

Record type: Conference or Workshop Item (Other)

This paper describes how Semantic Grid technologies can be used to generate enhanced tools for data collection that provide enabling technologies for interdisciplinary work, thereby enhancing the capacity to address substantive social science research. A feasibility study is presented in which semantic annotation (i.e. machine-processable annotation using Semantic Web technologies) is used to capture and work with the digital record, in support of subsequent qualitative and quantitative analysis. This case study provides a proof of concept, helping to develop the agenda for future work in this area

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Citation

McDonald, John W., Gobbi, Mary O., Michaelides, Danius T., Monger, Eloise, Weal, Mark Jj and De Roure, David (2008) Grid-enabled data collection and analysis - semantic annotation in skills-based learning At 4th International Conference on e-Social Science. 18 - 20 Jun 2008.

More information

Published date: 2008
Venue - Dates: 4th International Conference on e-Social Science, 2008-06-18 - 2008-06-20

Identifiers

Local EPrints ID: 72379
URI: http://eprints.soton.ac.uk/id/eprint/72379
PURE UUID: 5f82f738-2561-4eff-820d-f1abf8a35b76
ORCID for Eloise Monger: ORCID iD orcid.org/0000-0003-2799-0596
ORCID for Mark Jj Weal: ORCID iD orcid.org/0000-0001-6251-8786
ORCID for David De Roure: ORCID iD orcid.org/0000-0001-9074-3016

Catalogue record

Date deposited: 11 Feb 2010
Last modified: 18 Jul 2017 23:54

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Contributors

Author: John W. McDonald
Author: Mary O. Gobbi
Author: Danius T. Michaelides
Author: Eloise Monger ORCID iD
Author: Mark Jj Weal ORCID iD
Author: David De Roure ORCID iD

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