Home

Main navigation

  • Home
    • Privacy Policy
    • Terms of Use
    • Acknowledgement
    • Ethical Compliance
  • Project
    • About LAMBDA
    • Partners
    • Advisory Board
    • Methodology
    • Related projects
    • CoE Guidelines
    • Promotional Material
  • eLearning
    • Lectures
    • Big Data Tools
    • Scenarios
    • Link to SlideWiki
  • Applying
    • Energy Management
    • Medicine and Healthcare
    • Process Industry and Manufacturing
    • Safety and Security
    • Environment and Resource Efficiency
    • eGovernment
  • Multiplying
    • Summer Schools
    • Webinars
    • Research-Industry Forums & Rountables
    • Staff Exchanges
    • Consortium Meetings
  • News & Events
    • Fortcoming events
    • Past events
    • Networking School Teachers
  • Results
    • Search
    • Deliverables
    • Publications
    • Preceding publications
    • Awards
    • PhD Defence by date
  • Join Us
    • Network of experts
    • Twitter
    • ResearchGate
    • Facebook
    • Contact

Breadcrumb

  • Home
  • Book - Knowledge Graphs and Big Data Processing
  • Posted on: Wed, 12/09/2020 - 09:36 By: valentina.janev

    Janev, V., Graux, D., Jabeen, H., Sallinger, E. (Eds.) Knowledge Graphs and Big Data Processing. Lecture Notes in Computer Science vol. 12072, pp. 1-208. Springer International Publishing. ISBN 978-3-030-53198-0. DOI: https://doi.org/10.1007/978-3-030-53199-7

    Download available, see Springer

    Foundations

    • Chapter 1 Ecosystem of Big Data (Valentina Janev)
    • Chapter 2 Knowledge Graphs: The Layered Perspective (Luigi Bellomarini, Emanuel Sallinger, and Sahar Vahdati)
    • Chapter 3 Big Data Outlook, Tools, and Architectures (Hajira Jabeen)

    Architecture

    • Chapter 4 Creation of Knowledge Graphs (Anastasia Dimou) - Invited
    • Chapter 5 Federated Query Processing (Kemele M. Endris, Maria-Esther Vidal, and Damien Graux)
    • Chapter 6 Reasoning in Knowledge Graphs: An Embeddings Spotlight (Luigi Bellomarini, Emanuel Sallinger, and Sahar Vahdati)

     

    Methods and Solutions

    • Chapter 7 Scalable Knowledge Graph Processing using SANSA (Hajira Jabeen, Damien Graux, and Gezim Sejdiu)
    • Chapter 8 Context-Based Entity Matching for Big Data (Mayesha Tasnim, Diego Collarana, Damien Graux, and Maria-Esther Vidal)

    Applications

    • Chapter 9 Survey on Big Data Applications (Valentina Janev, Dea Puji´c, Marko Jeli´c, and Maria-Esther Vidal)
    • Chapter 10 Case Study from the Energy Domain (Dea Puji´c, Marko Jeli´c, Nikola Tomaˇsevi´c, and Marko Bati´c)

    References

    • Log in or register to post comments

    User account menu

    • Log in

    h2020

    This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 809965.

     

     

    Copyright © 2025, .