Enabling Semantically Enriched Data Analytics by Leveraging Topology-based Mobile Network Context Ontologies

Uzun A, von Hoffen M, Küpper A


Abstract
The OpenMobileNetwork is an open platform that provides approximated and semantically enriched mobile network and WiFi access point topology data based on the principles of Linked Data. By making use of the data within the Linking Open Data Cloud, this platform enables the development of new and sophisticated location-based services for the end consumer that also incorporate the semantics of a location rather than plain geospatial information. More importantly, it gives mobile network operators the opportunity to exploit their asset (being their network topology) for innovative services based on semantically enriched data analytics such as identifying location hotspots or traffic heat maps. The foundation of the OpenMobileNetwork is an ontology comprising static and dynamic network context facets that describe mobile and WiFi access point networks from a topological perspective (e.g., base stations, their locations and coverage areas). Within this paper, we present this ontology in detail and demonstrate its applicability in a power management scenario for mobile networks.

Keywords
Data Analytics, Linked Data, Location-based Services, Mobile Networks, Ontologies



Publication type
Conference Paper

Peer reviewed
Yes

Publication status
Published

Year
2014

Conference
International Conference on Web Intelligence, Mining and Semantics

Venue
Thessaloniki, Greece

Book title
Proceedings of the 4th International Conference on Web Intelligence, Mining and Semantics (WIMS '14)

Pages range
35:1-35:6

Title of series
WIMS '14

Publisher
ACM

Place
New York, NY, USA

Language
English

ISBN
978-1-4503-2538-7

DOI

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