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020 _a9783319907697
024 7 _a10.1007/978-3-319-90769-7
_2doi
040 _bspa
_dES-MaUEC
_cES-MaUEC
050 4 _aQA76.9.D3
_b2019 EB
100 1 _aUzun, Abdulbaki
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9670368
245 1 0 _aSemantic Modeling and Enrichment of Mobile and WiFi Network Data
_cby Abdulbaki Uzun.
264 1 _aCham
_bSpringer International Publishing :
_bImprint: Springer
_c2019.
300 _a1 recurso en línea (XXVIII, 211 páginas)
_b70 ilustraciones, 45 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aEngineering (Springer-11647)
490 0 _aT-Labs Series in Telecommunication Services
_x2192-2810
505 0 _aIntroduction -- Basics and RelatedWork -- Requirements -- Semantic Enrichment of Mobile andWiFi Network Data -- Interlinking Diverse Context Sources with Network Topology Data -- OpenMobileNetwork - A Platform for Providing Semantically Enriched Network Data -- Context-aware Services based on Semantically Enriched Mobile and WiFi Network Data -- Service Demonstrators -- Crowdsourced Network Data Estimation Quality -- Applicability of Services -- Conclusion and Future Outlook.
520 3 _aThis 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.
650 7 _2embne
_aSistemas de gestión de bases de datos
_9150569
650 7 _2embne
_9506007
_aDatos enlazados
650 7 _2embne
_aWeb semántica
_9163805
776 0 8 _iPrinted edition:
_z9783030080952
776 0 8 _iPrinted edition:
_z9783319907680
776 0 8 _iPrinted edition:
_z9783319907703
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-90769-7
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
988 _aPrimersemestre_2019_Engineering
998 _aSI
_cm
_dz
_feng
_ggw
_h0
_b08/2019
_ejf
_zSI