Guidelines for Linked Data generation and publication: an example in building energy consumption

Radulovic, Filip; Poveda Villalón, María; Vila-Suero, Daniel; Rodriguez-Doncel, Victor; García-Castro, Raúl y Gómez-Pérez, A. (2015). Guidelines for Linked Data generation and publication: an example in building energy consumption. "Automation in Construction", v. 57 ; pp. 178-187. ISSN 0926-5805. https://doi.org/10.1016/j.autcon.2015.04.002.

Descripción

Título: Guidelines for Linked Data generation and publication: an example in building energy consumption
Autor/es:
  • Radulovic, Filip
  • Poveda Villalón, María
  • Vila-Suero, Daniel
  • Rodriguez-Doncel, Victor
  • García-Castro, Raúl
  • Gómez-Pérez, A.
Tipo de Documento: Artículo
Título de Revista/Publicación: Automation in Construction
Fecha: Septiembre 2015
Volumen: 57
Materias:
Palabras Clave Informales: Linked Data; Guidelines; Buildings; Energy consumption
Escuela: E.T.S. de Ingenieros Informáticos (UPM)
Departamento: Inteligencia Artificial
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Linked Data is the key paradigm of the Semantic Web, a new generation of the World Wide Web that promises to bring meaning (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 Linked Data 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.

Proyectos asociados

TipoCódigoAcrónimoResponsableTítulo
Gobierno de EspañaFPU2012/04084Sin especificarSin especificarSin especificar
FP7FP7-608711READY4SmartCitiesD APPOLONIA SPAICT Roadmap and Data Interoperability for Energy Systems

Más información

ID de Registro: 37840
Identificador DC: http://oa.upm.es/37840/
Identificador OAI: oai:oa.upm.es:37840
Identificador DOI: 10.1016/j.autcon.2015.04.002
URL Oficial: http://www.sciencedirect.com/science/article/pii/S0926580515000801
Depositado por: Memoria Investigacion
Depositado el: 25 Sep 2015 12:35
Ultima Modificación: 14 Nov 2017 09:53
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