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Urban Knowledge Extraction, Representation and Reasoning as a Bridge from Data City towards Smart City

 

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Author: Miguel Rodríguez, Jaime de
Galán Páez, Juan
Aranda Corral, Gonzalo A.
Borrego Díaz, Joaquín
Department: Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial
Date: 2016
Published in: 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld) (2016), p 968-974
ISBN/ISSN: 978-1-5090-2771-2
Document type: Presentation
Abstract: Urban Data management represents a major challenge in the field of Smart Cities. Its understanding is essential for the development of better smart services, which are a persistent demand in urban policies. From all the sources of data available, those that involve a collective processing of urban information (by the citizens or other collectives) deliver in fact, useful insights into social perception. Such is the case, for example, of data collected from mobile networks. Prior to the design of sociotechnical artifacts in cities, it seems important to extract the qualitative and quantitative opinions, sentiment and feedbacks present in these data. In this paper we present three solutions for mining these contents through Knowledge Extraction methods, as a previous step to the prospection of new smart services.
Cite: Miguel Rodríguez, J.d., Galán Páez, J., Aranda Corral, G.A. y Borrego Díaz, J. (2016). Urban Knowledge Extraction, Representation and Reasoning as a Bridge from Data City towards Smart City. En 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld) (968-974), Toulouse, France: IEEE Computer Society.
Size: 1.214Mb
Format: PDF

URI: https://hdl.handle.net/11441/86803

DOI: 10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.0152

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