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A URI is Worth a Thousand Tags: From Tagging to Linked Data with MOAT

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  • Alexandre Passant

    (National University of Ireland, Ireland)

  • Philippe Laublet

    (Université Paris-Sorbonne, France)

  • John G. Breslin

    (National University of Ireland, Ireland)

  • Stefan Decker

    (National University of Ireland, Ireland)

Abstract

Although tagging is a widely accepted practice on the Social Web, it raises various issues like tags ambiguity and heterogeneity, as well as the lack of organization between tags. We believe that Semantic Web technologies can help solve many of these issues, especially considering the use of formal resources from the Web of Data in support of existing tagging systems and practices. In this article, we present the MOAT—Meaning Of A Tag—ontology and framework, which aims to achieve this goal. We will detail some motivations and benefits of the approach, both in an Enterprise 2.0 ecosystem and on the Web. As we will detail, our proposal is twofold: It helps solve the problems mentioned previously, and weaves user-generated content into the Web of Data, making it more efficiently interoperable and retrievable.

Suggested Citation

  • Alexandre Passant & Philippe Laublet & John G. Breslin & Stefan Decker, 2009. "A URI is Worth a Thousand Tags: From Tagging to Linked Data with MOAT," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 5(3), pages 71-94, July.
    • Handle: RePEc:igg:jswis0:v:5:y:2009:i:3:p:71-94
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    Cited by:

    1. Jan Pawlowski & Markus Bick & René Peinl & Stefan Thalmann & Ronald Maier & Lars Hetmank & Paul Kruse & Malte Martensen & Henri Pirkkalainen, 2014. "Social Knowledge Environments," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 6(2), pages 81-88, April.
    2. Junho Kim & Mucheol Kim, 2021. "DeepBlockShield: Blockchain Agent-Based Secured Clinical Data Management Model from the Deep Web Environment," Mathematics, MDPI, vol. 9(9), pages 1-16, May.

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