Since 2012, users from all over the world contribute to this dataset by running one of our dedicated Measurement Clients on their mobile devices. This crowdsourced data is used to approximate mobile network as well as WiFi access point topologies worldwide. The processed data is structured according to a comprehensive Ontology in order to provide information about base station and WiFi access point locations, their coverage areas, neighboring cell relations and dynamic data, such as traffic, service usage, and number of users. It is made available to the public through a SPARQL endpoint and a meta description is provided using the Vocabulary of Interlinked Datasets (VoID).
In compliance with the principles of Linked Data, many interlinks to other Linking Open Data (LOD) Cloud datasets, such as Linked Crowdsourced Data, LinkedGeoData, or DBpedia, enable various applications ranging from Semantic Location-based Services to a sophisticated Power Management in Mobile Networks.
At the moment, this dataset comprises data covering 78 countries all over the world. During the data collection process, 640,176 measurements for Cell-IDs and 4,583,457 WiFi access point scans were considered out of which we have calculated 21,392 unique cells and 333,358 WiFi access points. In Germany, there are 4,836 cells operated by Telekom, whereas Vodafone deployed 1,378 base stations. 2,911 cells are from the provider E-Plus, O2 has 2,368 cells. The cell coverage areas and neighbor relations have been calculated out of the raw measurements and are visualized on the OpenMobileNetwork Map. Currently, this dataset has 22,952,232 triples created for 21,392 cells with 1,442,656 links to several datasets of the LOD Cloud, such as LinkedGeoData or DBpedia.