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

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

McDonald, John W.
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Gobbi, Mary O.
829a5669-2d52-44ef-be96-bc57bf20bea0
Michaelides, Danius T.
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Monger, Eloise
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Weal, Mark J.
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De Roure, David C.
02879140-3508-4db9-a7f4-d114421375da
McDonald, John W.
9adae16e-e1e1-4ddf-bf4c-7231ee8c1c8e
Gobbi, Mary O.
829a5669-2d52-44ef-be96-bc57bf20bea0
Michaelides, Danius T.
a6df5175-d71a-4cd4-befc-26c48235fb92
Monger, Eloise
38e8d3f2-e364-4d50-8542-6fc8cf096481
Weal, Mark J.
e8fd30a6-c060-41c5-b388-ca52c81032a4
De Roure, David C.
02879140-3508-4db9-a7f4-d114421375da

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

Record type: Conference or Workshop Item (Paper)

Abstract

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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More information

Published date: 19 June 2008
Additional Information: Event Dates: 18-20 June 2008
Venue - Dates: 4th International Conference on e-Social Science, , Manchester, United Kingdom, 2008-06-18 - 2008-06-20

Identifiers

Local EPrints ID: 192199
URI: http://eprints.soton.ac.uk/id/eprint/192199
PURE UUID: fdce9c47-5634-4b0a-a7fd-dd4e32cf7120
ORCID for Eloise Monger: ORCID iD orcid.org/0000-0003-2799-0596
ORCID for Mark J. Weal: ORCID iD orcid.org/0000-0001-6251-8786
ORCID for David C. De Roure: ORCID iD orcid.org/0000-0001-9074-3016

Catalogue record

Date deposited: 30 Jun 2011 12:56
Last modified: 15 Mar 2024 03:01

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Contributors

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

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