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Deploying a Social Web Graph Over a Semantic Web Framework

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Computational Intelligence in Data Mining—Volume 1

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 410))

Abstract

In this paper, the authors have deployed a Social Web Graph over a Semantic Web Framework. A social web graph is a collection of nodes, connected via directed edges. A graph simplifies the search by reducing the sample space by half after every node. But this is a keyword based search and is not rather intelligent. On the other hand a Semantic web framework organizes information in triples in addition to having the benefits of a graph. This makes the information more understandable and easily accessible.

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References

  1. Antoniou, G., van Harmelen, F.: A Semantic Web Primer. MIT Press, Cambridge (2008)

    Google Scholar 

  2. Mitra, S., Bagchi, A., Bandyopadhyay, A.K.: Complex query processing on web graph: a social network perspective. In Journal of Digital Information Management (2006)

    Google Scholar 

  3. Semantic Web. https://en.wikipedia.org/wiki/Semantic_Web

  4. Graph Theory. https://en.wikipedia.org/wiki/Graph_theory

  5. Tserpes, K., Papadakis, G., Kardara, M., Papaoikonomou, A., Aisopos, F., Sardis, E., Varvarigou, T.: An ontology for social networking sites interoperability. In: International Conference on Knowledge Engineering and Ontology Development, pp 245–250

    Google Scholar 

  6. Erétéo, G., Buffa, M., Gandon, F., Corby, O.: Analysis of a real online social network using semantic web frameworks. In: ISWC 2009, LNCS 5823, pp. 180–195 (2009)

    Google Scholar 

  7. Wennerberg, P.O.: Ontology based knowledge discovery in social networks. In: JRC Joint Research Center European Commission, Institute for the Protection and Security of the Citizen (IPSC)

    Google Scholar 

  8. Mika, P.: Ontologies are us: a unified model of social networks and semantics. Web Semant. Sci. Serv. Agents World Wide Web 5, 5–15 (2007)

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Author information

Authors and Affiliations

  1. Department of Computer Science & Engineering, National Institute of Technology Patna, Patna, India

    Shubhnkar Upadhyay, Avadhesh Singh, Kumar Abhishek & M. P. Singh

Authors
  1. Shubhnkar Upadhyay
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  2. Avadhesh Singh
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  3. Kumar Abhishek
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  4. M. P. Singh
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Corresponding author

Correspondence to Shubhnkar Upadhyay .

Editor information

Editors and Affiliations

  1. Veer Surendra Sai University of Tech., Dept of Computer Sci Eng & IT, Sambalpur, Odisha, India

    Himansu Sekhar Behera

  2. National Institute of Technology, Dept. of Computer Science & Engineering, Rourkela, Odisha, India

    Durga Prasad Mohapatra

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© 2016 Springer India

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Upadhyay, S., Singh, A., Abhishek, K., Singh, M.P. (2016). Deploying a Social Web Graph Over a Semantic Web Framework. In: Behera, H., Mohapatra, D. (eds) Computational Intelligence in Data Mining—Volume 1. Advances in Intelligent Systems and Computing, vol 410. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2734-2_8

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  • DOI: https://doi.org/10.1007/978-81-322-2734-2_8

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2732-8

  • Online ISBN: 978-81-322-2734-2

  • eBook Packages: EngineeringEngineering (R0)

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