Building management insights driven by a multi-system semantic representation approach
| Autor: | Tony Gray, Brett Leida, Charbel El Kaed |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Computer science
business.industry 020208 electrical & electronic engineering 0211 other engineering and technologies Cloud computing 02 engineering and technology Ontology (information science) Semantics Data science Data modeling World Wide Web Server Component (UML) 021105 building & construction 0202 electrical engineering electronic engineering information engineering business Building management |
| Zdroj: | WF-IoT |
| DOI: | 10.1109/wf-iot.2016.7845433 |
| Popis: | The Internet-of-Things paradigm has brought exciting opportunities to increase productivity and efficiency but also customer experiences. Thus, IoT promoted both the interconnectivity of devices and systems but also their cloud connectivity. However, such plethora of connected things capture part of the contextual information in different data models which makes them operate in silos. We depict in this paper an architecture and a real experiment to connect our on-premise systems to the cloud along with a semantic representation of the contextual information. Then, we integrate a BI component exposing data from our several systems to drive better insights in our facility. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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