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Title: Análisis y desarrollo de la semántica aplicada a las estaciones ferroviarias en Ciudades Inteligentes
Author: Cañadilla Fernández-Layos, Natalia
Director: Monzo, Carlos  
Tutor: Monzon Baeza, Victor  
Abstract: The progressive increase of the population in urban areas and the evolution of new technologies has meant a digital transformation and a growth in the demand for multimedia services in cities. Based on this transformation, the Intelligent Cities were born, which take advantage of the use of ICT to boost the efficiency of urban operations and improve the quality of life of their inhabitants. Railway stations are fundamental elements in modern cities. Like cities, stations are undergoing a process of intelligent transformation thanks to new technologies. Thus, stations have become a point of interaction that welcomes an increasing number of users. Therefore, the exchange of information between these and the cities, requires a great amount of data that must be meticulously treated and processed. In order to improve the management, security and efficiency of these data to meet the needs of the users of the stations and the cities themselves, the development of a common data model capable of processing these volumes of information with minimum criteria and characteristics is proposed. Through the semantics of the data, the stations will be able to interpret and represent the relevant information in a prioritized and structured way for its subsequent dissemination among different profiles and platforms of the Smart Cities. In addition, this data structure will be able to serve as a basis for a standardization of information exchange in intelligent stations.
Keywords: data model
smart cities
railway station
Document type: info:eu-repo/semantics/masterThesis
Issue Date: 21-Jun-2020
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Appears in Collections:Bachelor thesis, research projects, etc.

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