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

Published: 02 June 2014 Publication History
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  • 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.

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    Cited By

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    • (2021)A Semantic and Knowledge-Based Approach for Handover ManagementSensors10.3390/s2112423421:12(4234)Online publication date: 21-Jun-2021
    • (2015)Ein Konzept für den energieeffizienten Betrieb von MobilfunknetzenAdvances in Radio Science10.5194/ars-13-63-201513(63-72)Online publication date: 3-Nov-2015
    • (2015)Linked crowdsourced data - Enabling location analytics in the linking open data cloudProceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015)10.1109/ICOSC.2015.7050776(40-48)Online publication date: Feb-2015
    • Show More Cited By

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

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      Published In

      cover image ACM Other conferences
      WIMS '14: Proceedings of the 4th International Conference on Web Intelligence, Mining and Semantics (WIMS14)
      June 2014
      506 pages
      ISBN:9781450325387
      DOI:10.1145/2611040
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      • Aristotle University of Thessaloniki

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 02 June 2014

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      Author Tags

      1. Data Analytics
      2. Linked Data
      3. Location-based Services
      4. Mobile Networks
      5. Ontologies

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      WIMS '14 Paper Acceptance Rate 41 of 90 submissions, 46%;
      Overall Acceptance Rate 140 of 278 submissions, 50%

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      Cited By

      View all
      • (2021)A Semantic and Knowledge-Based Approach for Handover ManagementSensors10.3390/s2112423421:12(4234)Online publication date: 21-Jun-2021
      • (2015)Ein Konzept für den energieeffizienten Betrieb von MobilfunknetzenAdvances in Radio Science10.5194/ars-13-63-201513(63-72)Online publication date: 3-Nov-2015
      • (2015)Linked crowdsourced data - Enabling location analytics in the linking open data cloudProceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015)10.1109/ICOSC.2015.7050776(40-48)Online publication date: Feb-2015
      • (2015)Semantische Technologien für MobilfunkunternehmenCorporate Semantic Web10.1007/978-3-642-54886-4_11(145-165)Online publication date: 27-May-2015

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