Querying industrial stream-temporal data: An ontology-based visual approach1

JOURNAL OF AMBIENT INTELLIGENCE AND SMART ENVIRONMENTS, pp. 77-95, 2017.

Cited by: 9|Bibtex|Views47|DOI:https://doi.org/10.3233/AIS-160415
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Other Links: dblp.uni-trier.de|academic.microsoft.com

Abstract:

An increasing number of sensors are being deployed in business-critical environments, systems, and equipment; and stream a vast amount of data. The operational efficiency and effectiveness of business processes rely on domain experts' agility in interpreting data into actionable business information. A domain expert has extensive domain k...More

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