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Digital Libraries: The Challenge of Integrating Instagram with a Taxonomy for Content Management

Author

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  • Simona Ibba

    (Department of Electrical and Electronic Engineering, University of Cagliari, Piazza d’Armi, 09125 Cagliari, Italy)

  • Filippo Eros Pani

    (Department of Electrical and Electronic Engineering, University of Cagliari, Piazza d’Armi, 09125 Cagliari, Italy)

Abstract

Interoperability and social implication are two current challenges in the digital library (DL) context. To resolve the problem of interoperability, our work aims to find a relationship between the main metadata schemas. In particular, we want to formalize knowledge through the creation of a metadata taxonomy built with the analysis and the integration of existing schemas associated with DLs. We developed a method to integrate and combine Instagram metadata and hashtags. The final result is a taxonomy, which provides innovative metadata with respect to the classification of resources, as images of Instagram and the user-generated content, that play a primary role in the context of modern DLs. The possibility of Instagram to localize the photos inserted by users allows us to interpret the most relevant and interesting informative content for a specific user type and in a specific location and to improve access, visibility and searching of library content.

Suggested Citation

  • Simona Ibba & Filippo Eros Pani, 2016. "Digital Libraries: The Challenge of Integrating Instagram with a Taxonomy for Content Management," Future Internet, MDPI, vol. 8(2), pages 1-15, May.
  • Handle: RePEc:gam:jftint:v:8:y:2016:i:2:p:16-:d:69742
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    References listed on IDEAS

    as
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    2. Friederike E. L. Otto, 2016. "The art of attribution," Nature Climate Change, Nature, vol. 6(4), pages 342-343, April.
    3. Ying Ding & Elin K. Jacob & Michael Fried & Ioan Toma & Erjia Yan & Schubert Foo & Staša Milojević, 2010. "Upper tag ontology for integrating social tagging data," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(3), pages 505-521, March.
    4. Ying Ding & Elin K. Jacob & Michael Fried & Ioan Toma & Erjia Yan & Schubert Foo & Staša Milojević, 2010. "Upper tag ontology for integrating social tagging data," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(3), pages 505-521, March.
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