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001 978-3-319-90769-7
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020 _a9783319907697
_9978-3-319-90769-7
024 7 _a10.1007/978-3-319-90769-7
_2doi
050 4 _aQA76.9.D343
072 7 _aUNF
_2bicssc
072 7 _aUYQE
_2bicssc
072 7 _aCOM021030
_2bisacsh
072 7 _aUNF
_2thema
072 7 _aUYQE
_2thema
082 0 4 _a006.312
_223
100 1 _aUzun, Abdulbaki.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_943348
245 1 0 _aSemantic Modeling and Enrichment of Mobile and WiFi Network Data
_h[electronic resource] /
_cby Abdulbaki Uzun.
250 _a1st ed. 2019.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2019.
300 _aXXVIII, 211 p. 70 illus., 45 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aT-Labs Series in Telecommunication Services,
_x2192-2829
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 _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 0 _aData mining.
_93907
650 0 _aTelecommunication.
_910437
650 0 _aQuantitative research.
_94633
650 0 _aElectronic digital computers—Evaluation.
_932046
650 1 4 _aData Mining and Knowledge Discovery.
_943349
650 2 4 _aCommunications Engineering, Networks.
_931570
650 2 4 _aData Analysis and Big Data.
_943350
650 2 4 _aSystem Performance and Evaluation.
_932047
710 2 _aSpringerLink (Online service)
_943351
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319907680
776 0 8 _iPrinted edition:
_z9783319907703
776 0 8 _iPrinted edition:
_z9783030080952
830 0 _aT-Labs Series in Telecommunication Services,
_x2192-2829
_943352
856 4 0 _uhttps://doi.org/10.1007/978-3-319-90769-7
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c77299
_d77299