2013
DOI: 10.1016/j.aei.2012.10.003
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Linking building data in the cloud: Integrating cross-domain building data using linked data

Abstract: a b s t r a c tWithin the operational phase buildings are now producing more data than ever before, from energy usage, utility information, occupancy patterns, weather data, etc. In order to manage a building holistically it is important to use knowledge from across these information sources. However, many barriers exist to their interoperability and there is little interaction between these islands of information.As part of moving building data to the cloud there is a critical need to reflect on the design of… Show more

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Cited by 180 publications
(135 citation statements)
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References 21 publications
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“…If the system is able to identify the domain of the idea and annotate it semantically, the idea can be linked to data stored in a data space [13] (results on grey and blue widgets in figure 2) or searched on some data sources [14]. That way, the user would create an idea with automatically added information.…”
Section: ): "I Would Change the Incandescent Bulb In Desk #333 For Amentioning
confidence: 99%
“…If the system is able to identify the domain of the idea and annotate it semantically, the idea can be linked to data stored in a data space [13] (results on grey and blue widgets in figure 2) or searched on some data sources [14]. That way, the user would create an idea with automatically added information.…”
Section: ): "I Would Change the Incandescent Bulb In Desk #333 For Amentioning
confidence: 99%
“…Multiple contributions highlight the importance of the holistic management of building data: Curry et al [26] exploit linked data as enabling technology to create an integrated graph of relevant knowledge including energy consumption, utility data, occupancy patterns and weather records; Agarwal et al [27] propose an extensible, distributed and scalable system for storage, shared access and management of building-related information. The prototype facilitates access to the data collected using user management tools and allow standardized client applications to be built on top of it.…”
Section: Related Workmentioning
confidence: 99%
“…Research and innovation in this area of work will assure that machine learning algorithms can leverage system know-how that today is mainly limited to humans. Linked data will facilitate the semantic coupling of know-how at design and implementation time, with discovered knowledge from data at operation time, resulting in self-improving data models and algorithms for machine learning (Curry et al 2013). …”
Section: Prescriptive Analyticsmentioning
confidence: 99%