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Towards an Approach Based on Ontology for Semantic-Temporal Modeling of Social Network Data

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Intelligent Systems Design and Applications (ISDA 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 557))

Abstract

Recently, social networks have attracted a particular interest in the web, particularly Facebook. Consequently, a large amount of social data is produced. For semantic modeling of such data, several social network ontologies are introduced. The most popular is FoaF (Friend of a Friend) ontology.

In our research, we are interested in data generated from Facebook social network. Heretofore, the semantic-temporal modeling of Facebook data is not yet studied. Thus, we propose a semantic modeling approach of social data that allows extending the FoaF ontology with Facebook data and temporal information.

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Notes

  1. 1.

    http://www.foaf-project.org/.

  2. 2.

    http://sioc-project.org/.

  3. 3.

    http://www.w3.org/2004/02/skos/.

  4. 4.

    http://swat.cse.lehigh.edu/resources/onto/dblp.owl.

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Author information

Authors and Affiliations

  1. Research Groups in Intelligent Machines, National School of Engineers (ENIS), University of Sfax, BP 1173, 3038, Sfax, Tunisia

    Rim Chiha & Mounir Ben Ayed

  2. Computer Science and Communication Department, Faculty of Science of Sfax, Route Sokra Km 3.5, BP 1171, 3000, Sfax, Tunisia

    Rim Chiha & Mounir Ben Ayed

Authors
  1. Rim Chiha
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  2. Mounir Ben Ayed
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Correspondence to Rim Chiha .

Editor information

Editors and Affiliations

  1. Departamento de Engenharia Informática, Instituto Superior de Engenharia do Port, Porto, Portugal

    Ana Maria Madureira

  2. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs, Auburn, Washington, USA

    Ajith Abraham

  3. Polytechnic Institute of Porto, Felgueiras, Portugal

    Dorabela Gamboa

  4. Campus of Gualtar, University of Minho, Braga, Portugal

    Paulo Novais

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Chiha, R., Ben Ayed, M. (2017). Towards an Approach Based on Ontology for Semantic-Temporal Modeling of Social Network Data. In: Madureira, A., Abraham, A., Gamboa, D., Novais, P. (eds) Intelligent Systems Design and Applications. ISDA 2016. Advances in Intelligent Systems and Computing, vol 557. Springer, Cham. https://doi.org/10.1007/978-3-319-53480-0_70

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  • DOI: https://doi.org/10.1007/978-3-319-53480-0_70

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