TY - JOUR U1 - Zeitschriftenartikel, wissenschaftlich - begutachtet (reviewed) A1 - Puiu, Dan A1 - Barnaghi, Payam A1 - Tönjes, Ralf A1 - Kümper, Daniel A1 - Intizar Ali, Muhammad A1 - Mileo, Alessandra A1 - Xavier Parreira, Josiane A1 - Fischer, Marten A1 - Kolozali, Sefki A1 - Farajidavar, Nazli A1 - Gao, Feng A1 - Iggena, Thorben A1 - Pham, Thu-Le A1 - Nechifor, Cosmin-Septimiu A1 - Puschmann, Daniel A1 - Fernandes, Joao T1 - CityPulse: Large Scale Data Analytics Framework for Smart Cities JF - IEEE Access N2 - Our world and our lives are changing in many ways. Communication, networking, and computing technologies are among the most influential enablers that shape our lives today. Digital data and connected worlds of physical objects, people, and devices are rapidly changing the way we work, travel, socialize, and interact with our surroundings, and they have a profound impact on different domains,such as healthcare, environmental monitoring, urban systems, and control and management applications, among several other areas. Cities currently face an increasing demand for providing services that can have an impact on people’s everyday lives. The CityPulse framework supports smart city service creation by means of a distributed system for semantic discovery, data analytics, and interpretation of large-scale (near-)real-time Internet of Things data and social media data streams. To goal is to break away from silo applications and enable cross-domain data integration. The CityPulse framework integrates multimodal, mixed quality, uncertain and incomplete data to create reliable, dependable information and continuously adapts data processing techniques to meet the quality of information requirements from end users. Different than existing solutions that mainly offer unified views of the data, the CityPulse framework is also equipped with powerful data analytics modules that perform intelligent data aggregation, event detection, quality assessment, contextual filtering, and decision support. This paper presents the framework, describes ist components, and demonstrates how they interact to support easy development of custom-made applications for citizens. The benefits and the effectiveness of the framework are demonstrated in a use-case scenario implementation presented in this paper. Y1 - 2016 UN - https://nbn-resolving.org/urn:nbn:de:bsz:959-opus-7227 U6 - https://doi.org/10.1109/ACCESS.2016.2541999 DO - https://doi.org/10.1109/ACCESS.2016.2541999 VL - 4 SP - 1086 EP - 1108 ER -