FAsTA: a folksonomy-based automatic metadata generator

Authors:
Hend S. Al-Khalifa;Hugh C. Davis
Affiliations:
Learning Societies Lab, ECS, The University of Southampton, Southampton, UK;Learning Societies Lab, ECS, The University of Southampton, Southampton, UK
Venue:
EC-TEL'07 Proceedings of the Second European conference on Technology Enhanced Learning: creating new learning experiences on a global scale
Year:
2007

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Cited 1

Creating a Reusable Learning Objects Strategy: Leveraging Information and Learning in a Knowledge Economy

Creating a Reusable Learning Objects Strategy: Leveraging Information and Learning in a Knowledge Economy

Building and evaluating a collaboratively built structured folksonomy

Journal of Information Science

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Abstract

Folksonomies provide a free source of keywords describing web resources, however, these keywords are free form and unstructured. In this paper, we describe a novel tool that converts folksonomy tags into semantic metadata, and present a case study consisting of a framework for evaluating the usefulness of this metadata within the context of a particular eLearning application. The evaluation shows the number of ways in which the generated semantic metadata adds value to the raw folksonomy tags.