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

Radulovic, Filip and Poveda Villalón, María and Vila-Suero, Daniel and Rodriguez-Doncel, Victor and García-Castro, Raúl and 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.

Description

Title: Guidelines for Linked Data generation and publication: an example in building energy consumption
Author/s:
  • Radulovic, Filip
  • Poveda Villalón, María
  • Vila-Suero, Daniel
  • Rodriguez-Doncel, Victor
  • García-Castro, Raúl
  • Gómez-Pérez, A.
Item Type: Article
Título de Revista/Publicación: Automation in Construction
Date: September 2015
ISSN: 0926-5805
Volume: 57
Subjects:
Freetext Keywords: Linked Data; Guidelines; Buildings; Energy consumption
Faculty: E.T.S. de Ingenieros Informáticos (UPM)
Department: Inteligencia Artificial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainFPU2012/04084UnspecifiedUnspecifiedFPU grant
FP7608711READY4SmartCitiesD APPOLONIA SPAICT Roadmap and Data Interoperability for Energy Systems

More information

Item ID: 37840
DC Identifier: http://oa.upm.es/37840/
OAI Identifier: oai:oa.upm.es:37840
DOI: 10.1016/j.autcon.2015.04.002
Official URL: http://www.sciencedirect.com/science/article/pii/S0926580515000801
Deposited by: Memoria Investigacion
Deposited on: 25 Sep 2015 12:35
Last Modified: 03 Jun 2019 13:35
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