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Proceedings of the Mediterranean Symposium on Smart City Applications

SCAMS 2017: Innovations in Smart Cities and Applications pp 305–312Cite as

Big Data: Methods, Prospects, Techniques

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Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 37))

Abstract

Nowadays, Web content knows a rapid increase in syntactic data that makes their processing and storage difficult in classical systems. An alternative approach is to represent the Web in a more understandable form by the machines based on the initiative of the semantic web, on the new technologies and algorithms existing in parallelism, cloud computing, distributed systems and big data mining. These new intelligent techniques allow us to give new representations to the sources of the Web. Our research will develop around the semantic search of information on a set of massive, distributed, autonomous and heterogeneous Resource Description Framework (RDF) data. However, only a representation format of knowledge for their semantic access is not sufficient and we need strong response mechanisms to efficiently handle global and distributed queries on a set of RDF data marked by the dynamics and scalability of their content.

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Authors and Affiliations

  1. List Laboratory, Faculty of Sciences and Techniques, University Abdelmalek Essaadi, Tangier, Morocco

    Lamrani Kaoutar, Abderrahim Ghadi & Florent Kunalè Kudagba

Authors
  1. Lamrani Kaoutar
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  2. Abderrahim Ghadi
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  3. Florent Kunalè Kudagba
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Corresponding author

Correspondence to Lamrani Kaoutar .

Editor information

Editors and Affiliations

  1. Computer Sciences Department, Faculty of Sciences and Techniques, Abdelmalek Essaadi University, Tangier, Morocco

    Mohamed Ben Ahmed

  2. Computer Sciences Department, Faculty of Sciences and Techniques, Abdelmalek Essaadi University, Tangier, Morocco

    Anouar Abdelhakim Boudhir

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Kaoutar, L., Ghadi, A., Kudagba, F.K. (2018). Big Data: Methods, Prospects, Techniques. In: Ben Ahmed, M., Boudhir, A. (eds) Innovations in Smart Cities and Applications. SCAMS 2017. Lecture Notes in Networks and Systems, vol 37. Springer, Cham. https://doi.org/10.1007/978-3-319-74500-8_28

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  • DOI: https://doi.org/10.1007/978-3-319-74500-8_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-74499-5

  • Online ISBN: 978-3-319-74500-8

  • eBook Packages: EngineeringEngineering (R0)

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