FIASCO: game interface for location-based play
DIS '04 Proceedings of the 5th conference on Designing interactive systems: processes, practices, methods, and techniques
Crowdsourcing: Why the Power of the Crowd Is Driving the Future of Business
Crowdsourcing: Why the Power of the Crowd Is Driving the Future of Business
DBpedia - A crystallization point for the Web of Data
Web Semantics: Science, Services and Agents on the World Wide Web
PhotoCity: training experts at large-scale image acquisition through a competitive game
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Linked Data
Crowd (soft) control: moving beyond the opportunistic
Proceedings of the Twelfth Workshop on Mobile Computing Systems & Applications
OpenMobileNetwork: extending the web of data by a dataset for mobile networks and devices
Proceedings of the 8th International Conference on Semantic Systems
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The OpenMobileNetwork is a semantic model for mobile network topologies created by following the principles of Linked Data. By correlating data in the Linking Open Data Cloud with the OpenMobileNetwork, innovative Semantic Context-aware Services (CAS) can be realized that are not solely driven by classic context data (e.g., geographic location), but also include further information from the semantics of the context in use. So far, this open-source initiative provided rather static network topology data triplified from open-source cell databases, such as OpenCellID or OpenBMap. Integrating dynamic and live network context data (e.g., current traffic and number of users in a mobile network cell) by exploiting crowdsourcing methods will further improve the Semantic CAS experience since the historic and live state of a mobile network cell is a valuable data source to be taken into consideration when providing personalized services. The challenge in realizing such a crowdsourcing approach lies in motivating a significant number of users to contribute with their data. For this purpose, we have turned the OpenMobileNetwork from a static dataset into a Live Crowdsourcing Platform for Semantic CAS including a semantic cellular database based on extended network context ontologies, two smartphone clients, and a Measurement Framework for gamifying the crowdsourcing process of collecting network measurements. The measurement statistics highlight the effectiveness of this approach.