| 书目名称 | Semantic Modeling and Enrichment of Mobile and WiFi Network Data |
| 编辑 | Abdulbaki Uzun |
| 视频video | http://file.papertrans.cn/865/864651/864651.mp4 |
| 概述 | Presents a platform for providing estimated and semantically enriched mobile and WiFi network topology data based on the principles of Linked Data.Introduces a crowdsourced dataset combining static lo |
| 丛书名称 | T-Labs Series in Telecommunication Services |
| 图书封面 |  |
| 描述 | .This 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 clo |
| 出版日期 | Book 2019 |
| 关键词 | LOD Cloud; dynamic network context; OpenMobileNetwork; third-party context sources; Linked Data; Network |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-90769-7 |
| isbn_softcover | 978-3-030-08095-2 |
| isbn_ebook | 978-3-319-90769-7Series ISSN 2192-2810 Series E-ISSN 2192-2829 |
| issn_series | 2192-2810 |
| copyright | Springer International Publishing AG, part of Springer Nature 2019 |