RW-BPMS 2015 - 1ST WORKSHOP ON THE ROLE OF REAL-WORLD OBJECTS IN BUSINESS PROCESS MANAGEMENT SYSTEMS
Topics/Call fo Papers
The increased availability of sensors disseminated in the world has lead to the possibility to monitor in detail the evolution of several real-world objects of interest. GPS receivers, RFID chips, transponders, detectors, cameras, satellites, etc. concur in the depiction of the current status of monitored things. Therefore, the opportunity arose to connect physical reality to digital information. The screening of real-world objects makes indeed sensors the interface towards real-world information, as they are the originators of machine-readable events. The exploitation of such knowledge is leading to successful applications such as Smart Cities, Flight Monitoring, Pollution Control, Internet of Things, and Dynamic Manufacturing Networks.
The amount of information at hand would consent a fine-grained monitoring, mining, and decision support for business processes, stemming from the joint observation of business-related objects in real world. However, the main focus of process and data analysis in Business Process Management (BPM) still lies at a high level of abstraction, such as activities’ status, and is based on digital-to-digital information, such as information systems’ data- and activity-centric logs. Furthermore, a limited investigation from the BPM community has been evinced towards the physical-to-digital bridge so far. Such bridge would be naturally provided by rethought information systems, where the knowledge extracted from real-world objects would best depict the contingencies and the context in which business processes are carried out. At the same time, awareness of physical reality for undertaken actions would allow for a better control over the interaction that the Business Process Management Systems (BPMSs) has with the real world.
The objective of the RW-BPMS workshop is therefore to attract novel research and industry approaches investigating the connection of business processes with real-world objects monitoring. Conceptual, technical and application-oriented contributions are pursued within the scope of this theme.
Topics
Relevant topics include, but are not limited to:
Real-world objects in decision making, support and process mining
Execution/deployment challenges for Business Processes (BPs) that include sensors
Using real-world objects monitoring for business process execution and control
Integration of data from real-world objects in BPM applications
Mixed physical-digital events correlation and aggregation
Mining mixed physical-digital events
Continuous mining of real-world events for running processes
Case identification from sensor data
Event log extraction from sensor data
Real-world objects in business process modeling
Modeling challenges to combine static information of business process execution and continuously updated information of real-world objects
Support for decision making based on sensor data for the business process execution
Requirement analysis for integrating real-world objects monitoring with business process monitoring
Opportunities of modeling sensor data in business process models
Inclusion of real-world information for the visualization of current process status
Novel visual representations for mixed physical-digital evolution of processes
Modeling flexibility for business process management involving real-world object interactions
Real-world objects status compliance to the business model
Compliance of the business model to the status evolution of real-world objects
Defining constraints on real-world objects in business process modeling
Process adaptivity and prediction based on real-world objects
Opportunities of mining sensor data to model business processes
Opportunities of mining sensor data to control the execution of business processes
Monitoring real-world objects to predict business process execution (e.g. duration of tasks)
Mixed physical-digital data aggregation in event analysis
Real-world-event driven process adaptation
Studies on the effects of process enactments on real world
General view on real-world objects in BPMSs
Empirical research on the integration of real-world objects in BPMSs
Case studies on the integration of real-world objects in BPMSs
Best practice for the integration of real-world objects in BPMSs
Vision papers on the integration of real-world objects in BPMSs
Submission guidelines
Prospective authors are invited to submit papers in any of the topics of the workshop. Papers must be written in English as full research paper (max. 12 pages) or short paper (position paper, work in progress; max. 6 pages). Papers must contain original contributions that have not been published previously, nor already submitted to other conferences or journals in parallel with this workshop. Each submission is reviewed by at least three experts in this field.
Submitted papers must follow the Lecture Notes in Business Information Processing (LNBIP) guidelines. Papers should be submitted electronically as a self-contained PDF file using the EasyChair submission site (https://easychair.org/conferences/?conf=rwbpms2015) by the deadlines indicated below. Accepted papers will be published in the CAiSE 2015 Workshop Proceedings, in a Springer LNBIP volume. At least one author of an accepted paper should register for the workshop and present the paper.
The amount of information at hand would consent a fine-grained monitoring, mining, and decision support for business processes, stemming from the joint observation of business-related objects in real world. However, the main focus of process and data analysis in Business Process Management (BPM) still lies at a high level of abstraction, such as activities’ status, and is based on digital-to-digital information, such as information systems’ data- and activity-centric logs. Furthermore, a limited investigation from the BPM community has been evinced towards the physical-to-digital bridge so far. Such bridge would be naturally provided by rethought information systems, where the knowledge extracted from real-world objects would best depict the contingencies and the context in which business processes are carried out. At the same time, awareness of physical reality for undertaken actions would allow for a better control over the interaction that the Business Process Management Systems (BPMSs) has with the real world.
The objective of the RW-BPMS workshop is therefore to attract novel research and industry approaches investigating the connection of business processes with real-world objects monitoring. Conceptual, technical and application-oriented contributions are pursued within the scope of this theme.
Topics
Relevant topics include, but are not limited to:
Real-world objects in decision making, support and process mining
Execution/deployment challenges for Business Processes (BPs) that include sensors
Using real-world objects monitoring for business process execution and control
Integration of data from real-world objects in BPM applications
Mixed physical-digital events correlation and aggregation
Mining mixed physical-digital events
Continuous mining of real-world events for running processes
Case identification from sensor data
Event log extraction from sensor data
Real-world objects in business process modeling
Modeling challenges to combine static information of business process execution and continuously updated information of real-world objects
Support for decision making based on sensor data for the business process execution
Requirement analysis for integrating real-world objects monitoring with business process monitoring
Opportunities of modeling sensor data in business process models
Inclusion of real-world information for the visualization of current process status
Novel visual representations for mixed physical-digital evolution of processes
Modeling flexibility for business process management involving real-world object interactions
Real-world objects status compliance to the business model
Compliance of the business model to the status evolution of real-world objects
Defining constraints on real-world objects in business process modeling
Process adaptivity and prediction based on real-world objects
Opportunities of mining sensor data to model business processes
Opportunities of mining sensor data to control the execution of business processes
Monitoring real-world objects to predict business process execution (e.g. duration of tasks)
Mixed physical-digital data aggregation in event analysis
Real-world-event driven process adaptation
Studies on the effects of process enactments on real world
General view on real-world objects in BPMSs
Empirical research on the integration of real-world objects in BPMSs
Case studies on the integration of real-world objects in BPMSs
Best practice for the integration of real-world objects in BPMSs
Vision papers on the integration of real-world objects in BPMSs
Submission guidelines
Prospective authors are invited to submit papers in any of the topics of the workshop. Papers must be written in English as full research paper (max. 12 pages) or short paper (position paper, work in progress; max. 6 pages). Papers must contain original contributions that have not been published previously, nor already submitted to other conferences or journals in parallel with this workshop. Each submission is reviewed by at least three experts in this field.
Submitted papers must follow the Lecture Notes in Business Information Processing (LNBIP) guidelines. Papers should be submitted electronically as a self-contained PDF file using the EasyChair submission site (https://easychair.org/conferences/?conf=rwbpms2015) by the deadlines indicated below. Accepted papers will be published in the CAiSE 2015 Workshop Proceedings, in a Springer LNBIP volume. At least one author of an accepted paper should register for the workshop and present the paper.
Other CFPs
Last modified: 2014-12-28 15:55:02