Title :
Extendible data model for real-time business process analysis
Author :
Leida, Marcello ; Chu, A. ; Colombo, Maurizio ; Majeed, B.
Author_Institution :
Etisalat BT Innovation Centre, Khalifa Univ. of Sci., Technol. & Res., Abu Dhabi, United Arab Emirates
Abstract :
This paper presents a promising data representation model for real time monitoring of business processes. The main benefit of this representation is that is transparent to the data creation and analysis processes and it is extendible at realtime. The model is based on a shared vocabulary defined using RDF standard representation allowing independence between applications. This model is a novel approach to real-time process data representation and paves the road to a complete new breed of applications for business process analysis.
Keywords :
business process re-engineering; data mining; RDF standard representation; SPARQL queries; business process mining; business processes; data analysis processes; data creation; data representation model; extendible data model; real time monitoring; real-time business process analysis; real-time process data representation; Business; Data mining; Data models; Monitoring; Real-time systems; Resource description framework; Vocabulary; Business Process Analysis; RDF; Real Time Processing; SPARQL;
Conference_Titel :
Industrial Engineering and Engineering Management (IEEM), 2012 IEEE International Conference on
Conference_Location :
Hong Kong
DOI :
10.1109/IEEM.2012.6838015
