SEÍS: A semantic-based system for integrating building energy data

Access to reliable energy related data is a fundamental factor when taking decisions that help to improve the energy efficiency of buildings. The increase in the amount of data we have available has led to the need to develop information systems that facilitate the analysis of such data to the agent...

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Detalhes bibliográficos
Autores: Madrazo Agudín, Leandro, Massetti, Marco, Sicilia, Álvaro, Wadel Raina, Gerardo Fabian, Ianni, Manuela|||0000-0001-6445-7745
Formato: artículo
Fecha de publicación:2015
País:España
Recursos:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/393851
Acesso em linha:https://hdl.handle.net/2117/393851
https://dx.doi.org/10.3989/ic.13.048
Access Level:acceso abierto
Palavra-chave:Energy conservation
Buildings
Information storage and retrieval systems
Ontologies (Information retrieval)
Building energy efficiency
Energy information systems
Semantic technologies
Ontologies.
Energia--Estalvi
Edificis
Informació--Sistemes d'emmagatzematge i recuperació
Ontologies (Informàtica)
Àrees temàtiques de la UPC::Arquitectura::Arquitectura sostenible
Àrees temàtiques de la UPC::Edificació::Construcció sostenible
Descrição
Resumo:Access to reliable energy related data is a fundamental factor when taking decisions that help to improve the energy efficiency of buildings. The increase in the amount of data we have available has led to the need to develop information systems that facilitate the analysis of such data to the agents which are present throughout the building life cycle, from the design phase to maintenance. Semantic web technologies provide a solution to interlink distributed data sources. This requires the construction of shared vocabularies (i.e. ontologies) which capture the meaning that users give to the data and facilitate access to them. As yet there are no consolidated methods to build these vocabularies. This article presents the methodology developed to create SEíS, an energy information system that uses semantic technologies to integrate energy related data and to facilitate services to the different agents involved throughout the stages of the building life cycle.