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SQTime: Time-Enhanced Social Search Querying

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Advances in Conceptual Modeling (ER 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8823))

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Abstract

In this paper, we present SQTime, a system for social search queries that exploit temporal information available in social networks. Specifically, SQTime introduces different types of queries aiming at satisfying information needs from different perspectives. SQTime is built upon a social graph and query model both augmented with time, and develops methods for query processing and time-dependent ranking.

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References

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Crete, Heraklion, Greece

    Panagiotis Lionakis

  2. Institute of Computer Science, FORTH, Heraklion, Greece

    Kostas Stefanidis

  3. Department of Applied Informatics, University of Macedonia, Thessaloniki, Greece

    Georgia Koloniari

Authors
  1. Panagiotis Lionakis
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  2. Kostas Stefanidis
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  3. Georgia Koloniari
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Editor information

Editors and Affiliations

  1. UQ Business School, The University of Queensland, 4072, St Lucia, QLD, Australia

    Marta Indulska

  2. 316B Information Sciences and Technology Building, Penn State University, 16802, University Park, PA, USA

    Sandeep Purao

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© 2014 Springer International Publishing Switzerland

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Lionakis, P., Stefanidis, K., Koloniari, G. (2014). SQTime: Time-Enhanced Social Search Querying. In: Indulska, M., Purao, S. (eds) Advances in Conceptual Modeling. ER 2014. Lecture Notes in Computer Science, vol 8823. Springer, Cham. https://doi.org/10.1007/978-3-319-12256-4_33

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  • DOI: https://doi.org/10.1007/978-3-319-12256-4_33

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12255-7

  • Online ISBN: 978-3-319-12256-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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