TY - GEN
T1 - Compliance monitoring on process event streams from multiple sources
AU - Koenig, Patrik
AU - Mangler, Juergen
AU - Rinderle-Ma, Stefanie
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/6
Y1 - 2019/6
N2 - Comprehensive and continuous compliance monitoring is crucial for many process scenarios, e.g., machine-spanning production processes. However, business process execution data is often scattered over several heterogeneous event sources and needs to be seamlessly incorporated into the data structure of the compliance checking system. The proposed COMS approach offers the possibility to define business rules based on process behaviour and the ability to handle events from different information system sources in an integrated way. COMS consists of a generic event data structure to store process information, a rule language, and matching concepts. COMS concepts are prototypically implemented and evaluated based on a real-world event stream from the manufacturing domain.
AB - Comprehensive and continuous compliance monitoring is crucial for many process scenarios, e.g., machine-spanning production processes. However, business process execution data is often scattered over several heterogeneous event sources and needs to be seamlessly incorporated into the data structure of the compliance checking system. The proposed COMS approach offers the possibility to define business rules based on process behaviour and the ability to handle events from different information system sources in an integrated way. COMS consists of a generic event data structure to store process information, a rule language, and matching concepts. COMS concepts are prototypically implemented and evaluated based on a real-world event stream from the manufacturing domain.
KW - Compliance Monitoring
KW - Event based Compliance Checking
KW - Process Matching
KW - Process Monitoring
KW - Rule Matching
UR - https://www.scopus.com/pages/publications/85071185639
U2 - 10.1109/ICPM.2019.00026
DO - 10.1109/ICPM.2019.00026
M3 - Conference contribution
AN - SCOPUS:85071185639
T3 - Proceedings - 2019 International Conference on Process Mining, ICPM 2019
SP - 113
EP - 120
BT - Proceedings - 2019 International Conference on Process Mining, ICPM 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1st International Conference on Process Mining, ICPM 2019
Y2 - 24 June 2019 through 26 June 2019
ER -