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Books > Computing & IT > Applications of computing > Databases > Data mining
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Semantic Modeling and Enrichment of Mobile and WiFi Network Data (Hardcover, 1st ed. 2019)
Loot Price: R2,888
Discovery Miles 28 880
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Semantic Modeling and Enrichment of Mobile and WiFi Network Data (Hardcover, 1st ed. 2019)
Series: T-Labs Series in Telecommunication Services
Expected to ship within 10 - 15 working days
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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.
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