Semantic Modeling and Enrichment of Mobile and WiFi Network Data

Abdulbaki Uzun

Informasi Umum

Kode

20.21.1624

Klasifikasi

621.382 - Communications engineering, Analog, Digital, Electronic communications, Telecommunications, Digital data and telecommunications engineering

Jenis

Buku - Elektronik (E-Book)

Subjek

Telecommunication Networks

No. Rak

Dilihat

144 kali

Informasi Lainnya

Abstraksi

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