Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Guidelines for Linked Data generation and publication: An example in building energy consumption
Year:2015
Research Areas
  • Artificial intelligence,
  • Computer systems
Information
Abstract
Linked Data is the key paradigmof the SemanticWeb, a newgeneration of theWorldWideWeb that promises to bringmeaning (semantics) to data. A large number of both public and private organizations have published their data following the Linked Data principles, or have done so with data from other organizations. To this extent, since the generation and publication of Linked Data are intensive engineering processes that require high attention in order to achieve high quality, and since experience has shown that existing general guidelines are not always sufficient to be applied to every domain, this paper presents a set of guidelines for generating and publishing Linked Data in the context of energy consumption in buildings (one aspect of Building Information Models). These guidelines offer a comprehensive description of the tasks to perform, including a list of steps, tools that help in achieving the task, various alternatives for performing the task, and best practices and recommendations. Furthermore, this paper presents a complete example on the generation and publication of LinkedData about energy consumption in buildings, following the presented guidelines, in which the energy consumption data of council sites (e.g., buildings and lights) belonging to the Leeds City Council jurisdiction have been generated and published as Linked Data.
International
Si
JCR
Si
Title
Automation in Construction
ISBN
0926-5805
Impact factor JCR
1,822
Impact info
Datos JCR del año 2013
Volume
57
Journal number
From page
178
To page
187
Month
SEPTIEMBRE
Ranking
Participants
  • Autor: Filip Radulovic . (UPM)
  • Autor: Maria Poveda Villalon (UPM)
  • Autor: Daniel Vila Suero (UPM)
  • Autor: Victor Rodriguez Doncel (UPM)
  • Autor: Raul Garcia Castro (UPM)
  • Autor: Asuncion de Maria Gomez Perez (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Ontology Engineering Group
  • Departamento: Inteligencia Artificial
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)