A Survey on Semantic Sensor Web: Sensor Ontology, Mapping and Query

Zhang, Xiaoming; Li, Mei

doi:10.14257/ijunesst.2015.8.10.32

Cited by 19 publications

(2 citation statements)

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“…A few recent papers survey the application of ontologies to IoT devices. Wang et al [48] provide a historical perspective on the ontologies developed for sensor networks. Li et al [49] review standardized Web of Things ontologies and identify their coverage of different levels of abstraction.…”

Section: Contribution Of This Reviewmentioning

confidence: 99%

“…Gyrard et al identify more than 200 ontologies relevant to IoT applications [147], but it is unclear how many of these can be directly related to building applications. For interested readers, other reviews provide more information about these schemas [48][49][50][51][52]. In addition to the smart home schemas described in Section 3.2.2, Connected Home over IP (CHIP) is a recent project supported by several IoT/smart home vendors and coordinated by the Zigbee Alliance.…”

Section: The Landscape Of Metadata Schemas For Building Energy Applicmentioning

confidence: 99%

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Metadata Schemas and Ontologies for Building Energy Applications: A Critical Review and Use Case Analysis

et al. 2021

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Digital and intelligent buildings are critical to realizing efficient building energy operations and a smart grid. With the increasing digitalization of processes throughout the life cycle of buildings, data exchanged between stakeholders and between building systems have grown significantly. However, a lack of semantic interoperability between data in different systems is still prevalent and hinders the development of energy-oriented applications that can be reused across buildings, limiting the scalability of innovative solutions. Addressing this challenge, our review paper systematically reviews metadata schemas and ontologies that are at the foundation of semantic interoperability necessary to move toward improved building energy operations. The review finds 40 schemas that span different phases of the building life cycle, most of which cover commercial building operations and, in particular, control and monitoring systems. The paper’s deeper review and analysis of five popular schemas identify several gaps in their ability to fully facilitate the work of a building modeler attempting to support three use cases: energy audits, automated fault detection and diagnosis, and optimal control. Our findings demonstrate that building modelers focused on energy use cases will find it difficult, labor intensive, and costly to create, sustain, and use semantic models with existing ontologies. This underscores the significant work still to be done to enable interoperable, usable, and maintainable building models. We make three recommendations for future work by the building modeling and energy communities: a centralized repository with a search engine for relevant schemas, the development of more use cases, and better harmonization and standardization of schemas in collaboration with industry to facilitate their adoption by stakeholders addressing varied energy-focused use cases.

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Section: Contribution Of This Reviewmentioning

confidence: 99%