Semantic Modeling and Enrichment of Mobile and WiFi Network Data

  • Abdulbaki Uzun

Part of the T-Labs Series in Telecommunication Services book series (TLABS)

Table of contents

  1. Front Matter
    Pages i-xxviii
  2. Basics

    1. Front Matter
      Pages 1-1
    2. Abdulbaki Uzun
      Pages 3-10
    3. Abdulbaki Uzun
      Pages 11-44
  3. Contribution

  4. Evaluation

    1. Front Matter
      Pages 161-161
    2. Abdulbaki Uzun
      Pages 163-169
    3. Abdulbaki Uzun
      Pages 171-183
  5. Conclusion

    1. Front Matter
      Pages 185-185
    2. Abdulbaki Uzun
      Pages 187-191
    3. Abdulbaki Uzun
      Pages 193-202
  6. Back Matter
    Pages 203-211

About this book


This book discusses the fusion of mobile and WiFi network data with semantic technologies and diverse context sources for offering semantically enriched context-aware services in the telecommunications domain.

It presents the OpenMobileNetwork as a platform for providing estimated and semantically enriched mobile and WiFi network topology data using the principles of Linked Data. This platform is based on the OpenMobileNetwork Ontology consisting of a set of network context ontology facets that describe mobile network cells as well as WiFi access points from a topological perspective and geographically relate their coverage areas to other context sources.

The book also introduces Linked Crowdsourced Data and its corresponding Context Data Cloud Ontology, which is a crowdsourced dataset combining static location data with dynamic context information. Linked Crowdsourced Data supports the OpenMobileNetwork by providing the necessary context data richness for more sophisticated semantically enriched context-aware services.

Various application scenarios and proof of concept services as well as two separate evaluations are part of the book. As the usability of the provided services closely depends on the quality of the approximated network topologies, it compares the estimated positions for mobile network cells within the OpenMobileNetwork to a small set of real-world cell positions. The results prove that context-aware services based on the OpenMobileNetwork rely on a solid and accurate network topology dataset. The book also evaluates the performance of the exemplary Semantic Tracking as well as Semantic Geocoding services, verifying the applicability and added value of semantically enriched mobile and WiFi network data.


LOD Cloud dynamic network context OpenMobileNetwork third-party context sources Linked Data Network Ontology

Authors and affiliations

  • Abdulbaki Uzun
    • 1
  1. 1.Telekom Innovation Laboratories, Technische Universität BerlinBerlinGermany

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2019
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-319-90768-0
  • Online ISBN 978-3-319-90769-7
  • Series Print ISSN 2192-2810
  • Series Online ISSN 2192-2829
  • Buy this book on publisher's site