Semantic Modelling and Enrichment of Mobile and WiFi Network Data

Abdulbaki Uzun

Informasi Dasar

23 kali
20.21.1553
621.382
Buku - Elektronik (E-Book)
12b

Linked Data defines a concept for publishing data in a structured form with well-defined semantics and for relating this information to other datasets in the Web. Out of this concept, a huge graph of interlinked data has evolved over time, which is also known as the LOD Cloud. The telecommunications domain can highly benefit from the principles of Linked Data as a step forward for exploiting their valuable asset—the mobile network data. By semantically enriching mobile network data according to those principles and correlating this data with the extensive pool of context information within the LOD Cloud, network providers might become capable of providing innovative context-aware services to their customers.

Semantically enriched context-aware services in the telecommunications domain require a semantic as well as topological description of mobile and WiFi networks in combination with interlinks to diverse context sources. This description must incorporate the positions of mobile network cells and WiFi access points, their coverage areas, and neighbor relations, along with dynamic network context data (e.g., the generated traffic in a cell). In addition, third-party context sources need to be integrated providing location-dependent information such as popular points of interest visited during certain weather conditions.

The core contribution of this thesis is the OpenMobileNetwork, which is a platform for providing estimated and semantically enriched mobile and WiFi network topology data based on the principles of Linked Data. It 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. As another contribution, this thesis also presents Linked Crowdsourced Data and its corresponding Context Data Cloud Ontology, which is a crowdsourced dataset combining static location data with dynamic context information. This dataset is also interlinked with the OpenMobileNetwork.

Subjek

TELECOMMUNICATIONS ENGINEERING
 

Katalog

Semantic Modelling and Enrichment of Mobile and WiFi Network Data
978-3-319-90769-7
211p.; pdf file.: 7 MB
English

Sirkulasi

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Pengarang

Abdulbaki Uzun
Perorangan
 
 

Penerbit

Springer
Switzerland
2019

Koleksi

Kompetensi

  • TTI4P3 - SISTEM KOMUNIKASI SATELIT
  • TEI3J3 - SISTEM TELEKOMUNIKASI
  • TTI1A2 - PENGENALAN TEKNIK TELEKOMUNIKASI

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