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. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Al-Khalifa, H. S., & Davis, H. C. (2007). FAsTA: A folksonomy-based automatic metadata generator. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4753 LNCS, pp. 414–419). Springer Verlag. https://doi.org/10.1007/978-3-540-75195-3_30
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