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Unified Retrieval Model of Big Data

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Book cover Advances in Big Data (INNS 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 529))

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Abstract

With the huge growth of big data, effective information retrieval methods have gained research focus. This paper addresses the difficulty of retrieving relevant information for a large system that involves fusion of data. We propose a retrieval model to enhance and improve the retrieving process along with the user’s metadata learning to develop and enhance a retrieval system.

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Author information

Authors and Affiliations

  1. Information Systems Department, College of Computer and Information Sciences, King Khaled University, Abha, Saudi Arabia

    Asma Al-Drees

  2. Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia

    Reem Bin-Hezam

  3. Information Systems Department, College of Computer and Information Sciences, Aljouf University, Sakakah, Saudi Arabia

    Ruba Al-Muwayshir

  4. Information Systems Department, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia

    Wafa’ Haddoush

Authors
  1. Asma Al-Drees
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  2. Reem Bin-Hezam
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  3. Ruba Al-Muwayshir
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  4. Wafa’ Haddoush
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Corresponding author

Correspondence to Asma Al-Drees .

Editor information

Editors and Affiliations

  1. School of Computing and Communications, Lancaster University , Lancaster, United Kingdom

    Plamen Angelov

  2. Data Engineering Lab, Dept. of Informatics, Aristotle University of Thessaloniki , Thessaloniki, Greece

    Yannis Manolopoulos

  3. Lab of Forest Informatics (FiLAB), Democritus University of Thrace , Orestiada, Greece

    Lazaros Iliadis

  4. WPC Information Systems Faculty, Arizona State University , Tempe, Arizona, USA

    Asim Roy

  5. Electrical Engineering Dept, (ICA), Pontifical Catholic Univ of Rio de Janei , Rio de Janeiro, Rio de Janeiro, Brazil

    Marley Vellasco

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Al-Drees, A., Bin-Hezam, R., Al-Muwayshir, R., Haddoush, W. (2017). Unified Retrieval Model of Big Data. In: Angelov, P., Manolopoulos, Y., Iliadis, L., Roy, A., Vellasco, M. (eds) Advances in Big Data. INNS 2016. Advances in Intelligent Systems and Computing, vol 529. Springer, Cham. https://doi.org/10.1007/978-3-319-47898-2_33

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  • DOI: https://doi.org/10.1007/978-3-319-47898-2_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47897-5

  • Online ISBN: 978-3-319-47898-2

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