Replacing the Monolithic LOM: A Folksonomic Approach
Replacing the Monolithic LOM: A Folksonomic Approach
IEEE-LOM is a well-known metadata standard for describing learning resources. However, many problems are associated with this kind of representation, which include the number of fields to be filled and the amount of time needed to fill them. To overcome this hurdle, we propose the use of cheap unstructured metadata to create structured semantic metadata, this metadata is called folksonomy. In this paper we show an approach that uses folksonomy tags to create structured metadata using semantic web technologies. The generated folksonomic metadata are then evaluated against a human expert annotation.
Al-Khalifa, Hend S.
b464bced-9859-47ef-829a-4675dfdba01e
Davis, Hugh C.
1608a3c8-0920-4a0c-82b3-ee29a52e7c1b
2007
Al-Khalifa, Hend S.
b464bced-9859-47ef-829a-4675dfdba01e
Davis, Hugh C.
1608a3c8-0920-4a0c-82b3-ee29a52e7c1b
Al-Khalifa, Hend S. and Davis, Hugh C.
(2007)
Replacing the Monolithic LOM: A Folksonomic Approach.
The 7th IEEE International Conference on Advanced Learning Technologies (ICALT 2007), Niigata, Japan.
18 - 20 Jul 2007.
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Conference or Workshop Item
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Abstract
IEEE-LOM is a well-known metadata standard for describing learning resources. However, many problems are associated with this kind of representation, which include the number of fields to be filled and the amount of time needed to fill them. To overcome this hurdle, we propose the use of cheap unstructured metadata to create structured semantic metadata, this metadata is called folksonomy. In this paper we show an approach that uses folksonomy tags to create structured metadata using semantic web technologies. The generated folksonomic metadata are then evaluated against a human expert annotation.
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Published date: 2007
Additional Information:
Event Dates: 18-20 July
Venue - Dates:
The 7th IEEE International Conference on Advanced Learning Technologies (ICALT 2007), Niigata, Japan, 2007-07-18 - 2007-07-20
Organisations:
Web & Internet Science
Identifiers
Local EPrints ID: 263882
URI: http://eprints.soton.ac.uk/id/eprint/263882
PURE UUID: a80f1931-dab6-42d5-97f1-26dada064327
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Date deposited: 28 Apr 2007
Last modified: 15 Mar 2024 02:36
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Contributors
Author:
Hend S. Al-Khalifa
Author:
Hugh C. Davis
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