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A case study comparing the completeness and expressiveness of two industry recognized ontologies
Advanced Engineering Informatics ( IF 8.0 ) Pub Date : 2021-01-17 , DOI: 10.1016/j.aei.2020.101233
Caroline Quinn , J.J. McArthur

Enabling Smart Building applications will help to achieve the ongoing efficient commissioning of buildings, ultimately attaining peak performance in energy use and improved occupant health and comfort, at minimum cost. For these technologies to be scalable, ontology must be adopted to semantically represent data generated by building mechanical systems, acting as conduit for connection to Smart Building applications. As the Building Automation System (BAS) industry considers Brick and Project Haystack ontologies for such applications, this paper provides a quantitative comparison of their completeness and expressiveness using a case study. This is contextualized within the broader set of ontological approaches developed for Smart Buildings, and critically evaluated using key ontology qualities outlined in literature. Brick achieved higher assessment values in completeness and expressiveness achieving 59% and 100% respectively, as compared to Haystacks 43% and 96%. Additionally, Brick exhibited five of six desirable qualities, where Haystack exhibited only three. Overall, this critical analysis has found Brick to be preferable to Haystack but still lacking in completeness; to overcome this, it should be integrated with other existing ontologies to serve as a holistic ontology for the longer- term development of Smart Building applications. These will support innovative approaches to sustainability in building operations across scales and as next- generation building controls and automation strategies.



中文翻译:

案例研究,比较了两种业界公认的本体的完整性和表达性

启用智能建筑应用程序将有助于实现建筑物的持续有效调试,最终以最小的成本实现能源使用的峰值性能并改善乘员的健康和舒适度。为了使这些技术具有可扩展性,必须采用本体来语义表示建筑机械系统生成的数据,充当连接到智能建筑应用程序的渠道。由于建筑自动化系统(BAS)行业考虑将Brick和Project Haystack本体用于此类应用,因此本文通过案例研究对它们的完整性和表达性进行了定量比较。在针对智能建筑开发的更广泛的本体论方法中,将其进行了上下文化,并使用文献中概述的关键本体论质量对其进行了严格评估。Brick的完整性和表达性评估值更高,分别达到59%和100%,而Haystacks为43%和96%。此外,砖头展示了六种理想品质中的五种,而干草堆只展示了三种。总的来说,这种批判性分析发现Brick优于Haystack,但仍缺乏完整性。为了克服这个问题,应将其与其他现有本体集成在一起,以作为智能建筑应用程序长期开发的整体本体。这些将支持创新的方法来实现跨规模的建筑物运营中的可持续性,以及作为下一代建筑物控制和自动化策略。砖头展示了六种理想品质中的五种,而干草堆只展示了三种。总的来说,这种批判性分析发现Brick优于Haystack,但仍缺乏完整性。为了克服这个问题,应将其与其他现有本体集成在一起,以作为智能建筑应用程序长期开发的整体本体。这些将支持创新的方法来实现跨规模的建筑物运营中的可持续性,以及作为下一代建筑物控制和自动化策略。砖头展示了六种理想品质中的五种,而干草堆只展示了三种。总的来说,这种批判性分析发现Brick优于Haystack,但仍缺乏完整性。为了克服这个问题,应将其与其他现有本体集成在一起,以作为智能建筑应用程序长期开发的整体本体。这些将支持创新的方法来实现跨规模的建筑物运营中的可持续性,以及作为下一代建筑物控制和自动化策略。它应与其他现有本体集成在一起,以作为智能建筑应用程序长期开发的整体本体。这些将支持创新的方法来实现跨规模的建筑物运营中的可持续性,以及作为下一代建筑物控制和自动化策略。它应与其他现有本体集成在一起,以作为智能建筑应用程序长期开发的整体本体。这些将支持创新的方法来实现跨规模的建筑物运营中的可持续性,以及作为下一代建筑物控制和自动化策略。

更新日期:2021-01-18
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