Automatic taxonomy generation: Issues and possibilities
Raghu Krishnapuram, Krishna Kummamuru
IFSA 2003
AI-augmented Business Process Management Systems (ABPMSs) are an emerging class of process-aware information systems, empowered by trustworthy AI technology. An ABPMS enhances the execution of business processes with the aim of making these processes more adaptable, proactive, explainable, and context-sensitive. This manifesto presents a vision for ABPMSs and discusses research challenges that need to be surmounted to realize this vision. To this end, we define the concept of ABPMS, we outline the lifecycle of processes within an ABPMS, we discuss core characteristics of an ABPMS, and we derive a set of challenges to realize systems with these characteristics.
Raghu Krishnapuram, Krishna Kummamuru
IFSA 2003
Michael Ray, Yves C. Martin
Proceedings of SPIE - The International Society for Optical Engineering
Leo Liberti, James Ostrowski
Journal of Global Optimization
Corneliu Constantinescu
SPIE Optical Engineering + Applications 2009