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Extracting Metadata from Multimedia Content on Facebook as Media Annotations

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Knowledge Engineering and Semantic Web (KESW 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 518))

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Abstract

This paper presents two ways to extract metadata from Facebook’s multimedia content, such as photos and videos, as descriptors of Ontology For Media Resources. We develop an ontology to map metadata in Facebook’s multimedia content to the descriptors of Ontology For Media Resources and we develop a SPARQL endpoint that enables reasoning over Facebook multimedia content using Ontology For Media Resources.

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Author information

Authors and Affiliations

  1. CENTRIA, Universidade Nova de Lisboa, 2829-516, Caparica, Portugal

    Miguel B. Alves & Carlos Viegas Damásio

  2. ESTG - IPVC, 4900-348, Viana do Castelo, Portugal

    Miguel B. Alves

  3. CITI, Universidade Nova de Lisboa, 2829-516, Caparica, Portugal

    Nuno Correia

Authors
  1. Miguel B. Alves
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  2. Carlos Viegas Damásio
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  3. Nuno Correia
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Corresponding author

Correspondence to Miguel B. Alves .

Editor information

Editors and Affiliations

  1. Complexible Inc, Washington, District of Columbia, USA

    Pavel Klinov

  2. ITMO University, St. Petersburg, Russia

    Dmitry Mouromtsev

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© 2015 Springer International Publishing Switzerland

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Alves, M.B., Damásio, C.V., Correia, N. (2015). Extracting Metadata from Multimedia Content on Facebook as Media Annotations. In: Klinov, P., Mouromtsev, D. (eds) Knowledge Engineering and Semantic Web. KESW 2015. Communications in Computer and Information Science, vol 518. Springer, Cham. https://doi.org/10.1007/978-3-319-24543-0_18

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  • DOI: https://doi.org/10.1007/978-3-319-24543-0_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24542-3

  • Online ISBN: 978-3-319-24543-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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