IADIS International Journal on Computer Science and Information Systems

Published by IADIS (International Association for Development of the Information Society) • ISSN (Online): 1646-3692 • ISSN (Print): 1646-3692
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Folksonomies Versus Automatic Keyword Extraction: an Empirical Study

Hend S. Al-Khalifa *
Hugh C. Davis Learning Technology Group- ECS- Southampton *
* University, Southampton, SO17 1BJ, UK (Portugal)
* University, Southampton, SO17 1BJ, UK (Portugal)

Abstract

Semantic Metadata, which describes the meaning of documents, can be produced either manually or else semi-automatically using information extraction techniques. Manual techniques are expensive if they rely on skilled cataloguers, but a po ssible alternative is to make use of community produced annotations such as those collected in folks onomies. This paper reports on an experiment that we carried out to validate the assumption that folksonomies contain hi gher semantic value than

Keywords

extracted by machines
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Funding: This research received academic dissemination support through ESCAP / JournalsHub publishing programs.
Conflicts of Interest: The authors declare no competing financial or institutional interests.
Peer Review: Double-blind peer reviewed by international subject specialists.
License: Creative Commons Attribution 4.0 International (CC BY 4.0).
How to Cite This Article
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Al-Khalifa, et al. (2006). Folksonomies Versus Automatic Keyword Extraction: an Empirical Study. IADIS International Journal on Computer Science and Information Systems, 1(2). https://doi.org/10.33965/ijcsis_2006_v1i2_11
Al-Khalifa, et al. "Folksonomies Versus Automatic Keyword Extraction: an Empirical Study." IADIS International Journal on Computer Science and Information Systems, vol. 1, no. 2, 2006. https://doi.org/10.33965/ijcsis_2006_v1i2_11
Al-Khalifa, et al. "Folksonomies Versus Automatic Keyword Extraction: an Empirical Study." IADIS International Journal on Computer Science and Information Systems 1, no. 2 (2006). https://doi.org/10.33965/ijcsis_2006_v1i2_11