TY - GEN
T1 - A unified ontology namespace for enterprise integration - a digital twin case study
AU - David, Joe
AU - Martikkala, Antti
AU - Lobov, Andrei
AU - Lanz, Minna
PY - 2019
Y1 - 2019
N2 - In order to be able to scale business enterprises and digitally transform them, we need to be able to readily integrate business data. Traditional systems have business data travelling through different layers of the automation stack vertically. This study presents an architecture that employs a unified ontology namespace for integration of business data. Such an architecture is thought to enhance transparency and visibility easing integrations. A use-case exploiting such an architecture with webservices is presented to convey the ease at which different applications, such as a digital twin, can be “plugged in” to realize further business potential of enterprises.
AB - In order to be able to scale business enterprises and digitally transform them, we need to be able to readily integrate business data. Traditional systems have business data travelling through different layers of the automation stack vertically. This study presents an architecture that employs a unified ontology namespace for integration of business data. Such an architecture is thought to enhance transparency and visibility easing integrations. A use-case exploiting such an architecture with webservices is presented to convey the ease at which different applications, such as a digital twin, can be “plugged in” to realize further business potential of enterprises.
UR - http://ieet.istu.ru/editions.php/?ed=5
U2 - 10.22213/2658-3658-2019
DO - 10.22213/2658-3658-2019
M3 - Conference contribution
T3 - Instrumentation Engineering, Electronics and Telecommunications
SP - 13
EP - 22
BT - The 5th Forum Instrumentation Engineering, Electronics and Telecommunications – 2019, (IEET–2019)
PB - Publishing House of Kalashnikov ISTU
CY - Izhevsk, Russian Federation
T2 - International Forum Instrumentation Engineering, Electronics and Telecommunications
Y2 - 15 January 2020
ER -