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- W2964156962 abstract "In this paper we present a SOA (Service Oriented Architecture)-based platform, enabling the retrieval andanalysis of big datasets stemming from social networking (SN) sites and Internet of Things (IoT) devices,collected by smart city applications and socially-aware data aggregation services. A large set of cityapplications in the areas of Participating Urbanism, Augmented Reality and Sound-Mapping throughoutparticipating cities is being applied, resulting into produced sets of millions of user-generated events andonline SN reports fed into the RADICAL platform. Moreover, we study the application of data analyticssuch as sentiment analysis to the combined IoT and SN data saved into an SQL database, furtherinvestigating algorithmic and configurations to minimize delays in dataset processing and results retrieval." @default.
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- W2964156962 date "2016-01-01" @default.
- W2964156962 modified "2023-10-02" @default.
- W2964156962 title "Big IoT and Social Networking Data for Smart Cities - Algorithmic Improvements on Big Data Analysis in the Context of RADICAL City Applications" @default.
- W2964156962 doi "https://doi.org/10.5220/0005934503960405" @default.
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