Semantic Modeling and Enrichment of Mobile and WiFi Network Data

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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.




Presents a platform for providing estimated and semantically enriched mobile and WiFi network topology data based on the principles of Linked Data Introduces a crowdsourced dataset combining static location data with dynamic context information Highlights the applicability and added value of semantically enriched mobile and WiFi network data for providing innovative context-aware services in the telecommunications domain

Inhalt
Introduction.- Basics and RelatedWork.- Requirements.- Semantic Enrichment of Mobile andWiFi Network Data.- Interlinking Diverse Context Sources with Network Topology Data.- OpenMobileNetwork A Platform for Providing Semantically Enriched Network Data.- Context-aware Services based on Semantically Enriched Mobile and WiFi Network Data.- Service Demonstrators.- Crowdsourced Network Data Estimation Quality.- Applicability of Services.- Conclusion and Future Outlook.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783030080952
    • Sprache Englisch
    • Auflage Softcover reprint of the original 1st edition 2019
    • Größe H235mm x B155mm x T14mm
    • Jahr 2019
    • EAN 9783030080952
    • Format Kartonierter Einband
    • ISBN 3030080951
    • Veröffentlichung 01.02.2019
    • Titel Semantic Modeling and Enrichment of Mobile and WiFi Network Data
    • Autor Abdulbaki Uzun
    • Untertitel T-Labs Series in Telecommunication Services
    • Gewicht 371g
    • Herausgeber Springer International Publishing
    • Anzahl Seiten 240
    • Lesemotiv Verstehen
    • Genre Informatik

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