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Ontology of Folksonomy: A Mash-Up of Apples and Oranges

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  • Thomas Gruber

    (TomGruber.org and RealTravel.com, USA)

Abstract

Ontologies are enabling technology for the Semantic Web. They are a means for people to state what they mean by the terms used in data that they might generate, share, or consume. Folksonomies are an emergent phenomenon of the social Web. They arise from data about how people associate terms with content that they generate, share, or consume. Recently the two ideas have been put into opposition, as if they were right and left poles of a political spectrum. This is a false dichotomy; they are more like apples and oranges. In fact, as the Semantic Web matures and the social Web grows, there is increasing value in applying Semantic Web technologies to the data of the social Web. This article is an attempt to clarify the distinct roles for ontologies and folksonomies, and preview some new work that applies the two ideas together—an ontology of folk-sonomy.

Suggested Citation

  • Thomas Gruber, 2007. "Ontology of Folksonomy: A Mash-Up of Apples and Oranges," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 3(1), pages 1-11, January.
    • Handle: RePEc:igg:jswis0:v:3:y:2007:i:1:p:1-11
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    Cited by:

    1. Xiuming Yu & Meijing Li & Kyung Ah Kim & Jimoon Chung & Keun Ho Ryu, 2016. "Emerging Pattern-Based Clustering of Web Users Utilizing a Simple Page-Linked Graph," Sustainability, MDPI, vol. 8(3), pages 1-18, March.
    2. Ana Fernández-Vilas & Rebeca P. Díaz-Redondo & Sandra Servia-Rodríguez, 2015. "IPTV parental control: A collaborative model for the Social Web," Information Systems Frontiers, Springer, vol. 17(5), pages 1161-1176, October.
    3. Detlef Schoder & Johannes Putzke & Panagiotis Metaxas & Peter Gloor & Kai Fischbach, 2014. "Information Systems for “Wicked Problems”," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 6(1), pages 3-10, February.
    4. Lamyaa EL BASSITI, 2017. "Generic Modular Ontology for Innovation Domain. A Key Pillar Towards “Innovation Interoperability”," Journal of Entrepreneurship, Management and Innovation, Fundacja Upowszechniająca Wiedzę i Naukę "Cognitione", vol. 13(2), pages 105-126.
    5. Gergely Marcell Honti & Janos Abonyi, 2019. "A Review of Semantic Sensor Technologies in Internet of Things Architectures," Complexity, Hindawi, vol. 2019, pages 1-21, June.

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