The RÉPENER linked dataset

Álvaro Sicilia; German Nemirovski; Marco Massetti; Leandro Madrazo

doi:10.3233/SW-130131

The RÉPENER linked dataset

Álvaro Sicilia, German Nemirovski, Marco Massetti, Leandro Madrazo

Escola Tècnica Superior d’Arquitectura La Salle

Producció científica: Article en revista indexada › Article › Avaluat per experts

Resum

The dataset presented in this paper constitutes one of the outcomes of RÉPENER, a research project co-funded by the Spanish National RDI plan. It contains integrated information of the Spanish territory regarding energy certification, building monitoring, and geographical data. The integration has been carried out by means of semantic technologies. The adherence to the Linked Data principles guarantees the application of standard methods of accessing data as well as the links to the existing dataset on the Web of Data. The dataset is a knowledge base for end-users. It can be useful for stakeholders involved in the improvement of energy efficiency of buildings to improve their decision-making.

Idioma original	Anglès
Número d’article	sw131
Pàgines (de-a)	131-137
Nombre de pàgines	7
Revista	Semantic Web
Volum	6
Número	2
DOIs	https://doi.org/10.3233/SW-130131
Estat de la publicació	Publicada - 2015

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abstract = "The dataset presented in this paper constitutes one of the outcomes of R{\'E}PENER, a research project co-funded by the Spanish National RDI plan. It contains integrated information of the Spanish territory regarding energy certification, building monitoring, and geographical data. The integration has been carried out by means of semantic technologies. The adherence to the Linked Data principles guarantees the application of standard methods of accessing data as well as the links to the existing dataset on the Web of Data. The dataset is a knowledge base for end-users. It can be useful for stakeholders involved in the improvement of energy efficiency of buildings to improve their decision-making.",

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year = "2015",

doi = "10.3233/SW-130131",

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AU - Nemirovski, German

AU - Massetti, Marco

AU - Madrazo, Leandro

N1 - Publisher Copyright: © IOS Press and the authors

PY - 2015

Y1 - 2015

N2 - The dataset presented in this paper constitutes one of the outcomes of RÉPENER, a research project co-funded by the Spanish National RDI plan. It contains integrated information of the Spanish territory regarding energy certification, building monitoring, and geographical data. The integration has been carried out by means of semantic technologies. The adherence to the Linked Data principles guarantees the application of standard methods of accessing data as well as the links to the existing dataset on the Web of Data. The dataset is a knowledge base for end-users. It can be useful for stakeholders involved in the improvement of energy efficiency of buildings to improve their decision-making.

AB - The dataset presented in this paper constitutes one of the outcomes of RÉPENER, a research project co-funded by the Spanish National RDI plan. It contains integrated information of the Spanish territory regarding energy certification, building monitoring, and geographical data. The integration has been carried out by means of semantic technologies. The adherence to the Linked Data principles guarantees the application of standard methods of accessing data as well as the links to the existing dataset on the Web of Data. The dataset is a knowledge base for end-users. It can be useful for stakeholders involved in the improvement of energy efficiency of buildings to improve their decision-making.

KW - Energy efficiency

KW - Linked Data

KW - data integration process

KW - energy certification

KW - ontology

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IS - 2

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ER -

The RÉPENER linked dataset

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