Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Smart Cities Semantics and Data Models
Year:2018
Research Areas
  • Information technology and adata processing
Information
Abstract
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.
International
Si
Congress
International Conference on Information Technology & Systems (ICITS 2018)
960
Place
Ecuador
Reviewers
Si
ISBN/ISSN
978-3-319-73450-7
https://doi.org/10.1007/978-3-319-73450-7_8
Start Date
10/01/2018
End Date
12/01/2018
From page
77
To page
85
Proceedings of the International Conference on Information Technology & Systems (ICITS 2018)
Participants
  • Autor: Ramon Pablo Alcarria Garrido (UPM)
  • Autor: Antonio Jara (HES-SO)
  • Autor: Martín Serrano (National University of Ireland Galway (NUIG))
  • Autor: Andrea Gómez (HOP Ubiquitous S.L.)
  • Autor: David Fernandez (HOP Ubiquitous S.L.)
  • Autor: German Molina (HOP Ubiquitous S.L)
  • Autor: Yann Bocchi (HES-SO)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Ingeniería de Redes y Servicios Avanzados de Telecomunicación
  • Departamento: Ingeniería Topográfica y Cartografía
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