FOrTÉ: A Federated Ontology and Timeseries Query Engine

Kaed, Charbel El; Boujonnier, Matthieu

doi:10.1109/ithings-greencom-cpscom-smartdata.2017.151

Cited by 7 publications

(4 citation statements)

References 9 publications

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“…Key relationships required by SOCx applications have been identified in previous publications [67,9,13,69]. In Bhattacharya et al [66] mentioned relationships is supported in the development of a query processor designed for energy management applications [69], as well as one designed for fault detection, information dashboards, and gray box modellers [13].…”

Section: Expressiveness Measurementmentioning

confidence: 94%

“…This is as opposed to ontology verification which employs tools to measure the quality of ontology instantiation [64]. Quantitative assessment includes completeness and expressiveness of the target ontologies, these measures are demonstrated in the academic literature to be valuable [9,69,13].…”

Section: Methodsmentioning

confidence: 99%

“…Qualities could include depth [75], which described the vagueness of ontology concepts, and data modalities [22] including more qualitative semantic representations such as comfort measures and maintenance. A number of studies have also focused on expanding expressiveness assessment beyond relationship representation to involve quantitative querability [69,13]. General queries could be extracted from these studies to improve expressiveness assessment and reach beyond relationships presence in an important next step.…”

Section: Future Research Needsmentioning

confidence: 99%

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Data Ontology Assessment To Support Smart And Ongoing Commissioning Of Buildings

Quinn¹

2021

Preprint

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To achieve Canada’s GHG reduction targets, building performance must be improved. Enabling buildings with Smart and Ongoing Commissioning (SOCx) applications will help to achieve peak performance in energy use and improved occupant health and comfort, at minimum cost. A comprehensive literature review highlighted the viability of Brick and Project Haystack ontologies, prompting a quantitative comparison of completeness and expressiveness using a case study with an industry ontology as the baseline for comparison. Additionally, a qualitative comparison was completed using key ontology qualities outlined in literature. A recommendation of Brick is made based on results. 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. If used by SOCx applications, the appropriate ontology permits the optimization of building performance. The recommendation of the appropriate ontology forms the basis for longer- term SOCx prototype development, which will support innovative approaches to sustainability in building operations across scale, as well as next- generation building controls and automation strategies.

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Section: Expressiveness Measurementmentioning

confidence: 94%

Section: Methodsmentioning

confidence: 99%

Section: Future Research Needsmentioning

confidence: 99%

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Data Ontology Assessment To Support Smart And Ongoing Commissioning Of Buildings

Quinn¹

2021

Preprint

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“…The works [7] and [8] introduce a concept to store structural data about the system under consideration and time series data in different databases. The structural data is represented and stored as RDF while time series data is stored in purpose-built databases.…”

Section: Related Workmentioning

confidence: 99%

Linked Data Architecture for Assistance and Traceability in Smart Manufacturing

2019

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Traceability systems and digital assistance solutions are becoming increasingly vital parts of modern manufacturing environments. They help tracking quality-related information throughout the production process and support workers and maintenance personnel to cope with the increasing complexity of manufacturing technologies. In order to support these use cases, the integration of information from different data sources is required to create the necessary insights into processes, equipment and production quality. Common challenges for such integration scenarios are the various data formats, encodings and software interfaces that are involved in the acquisition, transmission, management and retrieval of relevant product and process data. This paper proposes a Linked Data based system architecture for modular and decoupled assistance software. Its web-oriented approach allows to connect two usually disparate data sets: semantic descriptions of complex production systems on the one hand and high-volume and high-velocity production data on the other hand. The proposed concept is illustrated with a typical example from the manufacturing domain. The described End-of-Line quality assessment on forming machines is used for traceability and product monitoring.

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A case study comparing the completeness and expressiveness of two industry recognized ontologies

Quinn

McArthur

2021

Advanced Engineering Informatics

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FOrTÉ: A Federated Ontology and Timeseries Query Engine

Cited by 7 publications

References 9 publications

Data Ontology Assessment To Support Smart And Ongoing Commissioning Of Buildings

Data Ontology Assessment To Support Smart And Ongoing Commissioning Of Buildings

Linked Data Architecture for Assistance and Traceability in Smart Manufacturing

A case study comparing the completeness and expressiveness of two industry recognized ontologies

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