Descripción
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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. | |
Internacional
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Si |
JCR del ISI
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Si |
Título de la revista
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Automation in Construction |
ISSN
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0926-5805 |
Factor de impacto JCR
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1,822 |
Información de impacto
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Datos JCR del año 2013 |
Volumen
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57 |
DOI
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Número de revista
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Desde la página
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178 |
Hasta la página
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187 |
Mes
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SEPTIEMBRE |
Ranking
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