IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society 2018
DOI: 10.1109/iecon.2018.8591740
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Information Integration and Semantic Interpretation for Building Energy System Operation and Maintenance

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Cited by 5 publications
(8 citation statements)
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“…Figure 3 indicates that among the building data types in building ontologies, the most common were building sensor and parameter data and physical building information. The use of BMS and integrated sensors have become more prevalent attributing the pervasive representation of building sensor and parameter data in the ontologies reviewed [26,5,27,28]. The prevalent use of BMS also speaks to the frequent inclusion of building actuator data.…”
Section: Socx Data Typesmentioning
confidence: 99%
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“…Figure 3 indicates that among the building data types in building ontologies, the most common were building sensor and parameter data and physical building information. The use of BMS and integrated sensors have become more prevalent attributing the pervasive representation of building sensor and parameter data in the ontologies reviewed [26,5,27,28]. The prevalent use of BMS also speaks to the frequent inclusion of building actuator data.…”
Section: Socx Data Typesmentioning
confidence: 99%
“…On the basis of the reviewed ontologies an SOCx ontology should cover KPIs at various spatial and temporal scales for building performance assessment, contextual information for reasoning situations, and control and optimization rules for building performance improvement. Only 32% of papers included KPI semantic data in their ontologies [2,31,23,32,33,5,4,34,28,35].…”
Section: Socx Data Typesmentioning
confidence: 99%
“…Approach Reference Original ontology creation [61], [49], [14], [46], [52], [48], [37], [54], [29], [15], [67] Synthesis of existing ontologies [60], [62], [47], [24], [21], [50], [63], [51], [64], [53], [35], [55], [56], [57], [65], [66], [58], [68], [69], [59] Review and comparative analysis of existing ontologies [25], [22], [26], [27], [16], [28] The common building data types for which existing ontologies were reused included: indoor conditions and building systems/components, physical building information, simulation-based data, and other building data such as building location, as presented in Table 4. Since the extraction of some data types (e.g.…”
Section: General Ontological Approachesmentioning
confidence: 99%
“…The relevant reused ontologies in these cases were classified under top-level ontologies in Table 4 based on Guarino's [20] definition. IFC schema [60], [63], [64], [53], [68], [ Within the literature, there were several ontologies reused frequently by ontology developers. The two main domains for which existing ontologies were frequently reused were BMS (indoor conditions and building systems/components) and physical building information.…”
Section: General Ontological Approachesmentioning
confidence: 99%
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