Smart cities semantics and data models

Jara, Antonio (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Serrano, Martin (Insight Research Centre National University of Ireland Galway (NUIG) Galway, Ireland) ; Gomez, Andrea (Escuela Técnica Superior de Ingeniería en Telefomunicaciones Universidad Politécnica de Madrid (UPM) Madrid, Spain) ; Fernandez, David (Escuela Técnica Superior de Ingeniería en Telefomunicaciones Universidad Politécnica de Madrid (UPM) Madrid,Spain) ; Molina, German (HOP Ubiquitous S.L. (HOPU) Murcia, Spain) ; Bocchi, Yann (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Alcarria, Ramon (Escuela Técnica Superior de Ingeniería en Telefomunicaciones Universidad Politécnica de Madrid (UPM) Madrid, Spain)

Data models and semantics are a key aspect for the valorization of data in cross-domain applications and to obtain knowledge/insights beyond the original applications (vertical use cases). An important role of Big Data and a key fundament of its success is this capacity to discover and extract new knowledge beyond the original use of data, in order to learn, optimize processes and understand the hidden rules of our world. This works presents the different data models from standardization bodies such as IEEE PAR2530, ITU-T FG DPM, ETSI ISG CIM and oneM2M, W3C SSN, OMA LwM2M etc. An analysis and comparative among all of them and also the opportunities to link them in order to guarantee that we can obtain the major value through co-operation among cities and different departments. This work is contextualized in the principles from the Open and Agile Smart Cites (OASC) and linked initiatives focused on data management cross-cities and large scale pilots.


Keywords:
Faculty:
Economie et Services
School:
HEG-VS
Institute:
Institut Informatique de gestion
Subject(s):
Economie/gestion
Publisher:
Cham, Springer
Date:
2018-05
Cham
Springer
Pagination:
pp. 77-85
Published in:
Proceedings of the International Conference on Information Technology & Systems (ICITS 2018)
Author of the book:
Rocha, Alvaro ; ed. ; University of Coimbra, Portugal
DOI:
ISBN:
978-3-319-73449-1
External resources:
Appears in Collection:

Note: The status of this file is: restricted


 Record created 2018-11-05, last modified 2019-03-01

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