Artificial Intelligence for Business Process Management Workshop (AI4BPM 2018)
AI4BPM 2018
- URL: http://ai4bpm.inf.unibz.it
- Event Date: 2018-09-10 ~ 2018-09-10
- Submission Date: 2018-05-25
- Location: Sydney, Australia
AI4BPM 2018 Call for Papers
First workshop on Artificial Intelligence for Business Process Management (AI4BPM)
This is the workshop joining the Business Process Innovation with Artificial Intelligence (BPAI) and the Cognitive Business Process Management (CBPM) workshops.
The field of Artificial Intelligence continues to grow, with new and deeper techniques, and with application across numerous areas. In the past few years we have seen strong interest from both industry and academia in applying AI techniques in the area of Business Process Management. Indeed, the application of AI is impacting additional areas where process management perspectives and techniques are relevant, including industrial engineering, IoT, and emergency response, to name a few. The use of AI in BPM has been discussed as the next disruptive technology that will touch almost all of the business process activities being performed by humans. In some cases AI will dramatically simplify human interaction with a process, in other cases it will extensively support humans in the execution of tasks, and in yet other cases it will enable full automation of tasks that have traditionally required manual contributions. Over time AI may lead to entirely new paradigms for business processes and operations. For example, instead of BPM models centered on process or on case management, we anticipate models that are based fundamentally on goal achievement, as well as we anticipate models that fully enable continuous improvement and adaptation based on experiential learning.
This workshop encourages papers describing original research and industrial experiences that explore how AI can be applied in BPM contexts. The workshop takes a broad view of both AI and BPM.
Aspects of AI relevant to the workshop include (but are not limited to) the following:
* Machine Learning, including Deep Learning
* Natural Language Processing
* Reinforcement learning
* Self-learning and self-adaptive systems
* Recommendation and next-best action approaches
* Constraint Reasoning and related algorithms
* Context extraction techniques from different types of input ranging from scanned images to process descriptions (e.g., user manuals) to “process exhaust” (e.g., call center transcripts)
* Planning systems
* Virtual Assistants
The workshop emphasizes the use of AI in across the spectrum of application areas where process management perspectives and techniques are relevant. In addition to traditional BPM contexts this includes industrial engineering, IoT applications, emergency response, autonomous systems, emerging financial models, infrastructure and technical support services, and others. The workshop topics may include (but are not limited to) the following:
* Techniques for discovering and automating tasks and processes from unstructured data
* Process Mining augmented with Natural Language Understanding against unstructured data
* Knowledge representation and reasoning about process specifications and instances
* Goal-driven approaches to process management
* Virtual assistants to simplify interaction with processes
* AI-enabled creation of virtual assistant dialogues, including automated interaction with back-end systems
* Machine Learning to support automated triage and work assignment
* Machine Learning to enable automated trouble ticket resolution
* AI-enabled automation of exception handling
* Application of AI to (Data-Driven) BPM
* AI-enriched robotic process automation
* AI-enabled creation of robotic process automation solutions
* AI-driven modelling and optimization of business processes
* AI enablement for Knowledge-intensive Processes
* AI-based enrichment of IoT-enabled processes
* Applications of AI for Blockchain-hosted processes
* Applications of AI in managing industrial and manufacturing processes
* Applications of AI in industry-specific business processes (retail, e-commerce, finance, manufacturing, healthcare)
* AI-enabled approaches for enhancing or transforming the BPM lifecycle
* Impact of AI technology on BPM-related standards such as BPMN, CMMN, and DMN
* Non-traditional models and approaches to process management that leverage AI
* Social, economic, and business impacts of infusing AI into process management
Given that the research area of AI for BPM is in its infancy, we especially encourage submissions that explore totally new directions, which step outside of the areas listed above.
Submissions
Type and Content
The activities of the workshop will include presentations of scientific papers and experience reports, and also discussion sessions. We solicit three kinds of submission:
* Research papers, up to 12 pages, describing original and novel research work, including research results and evaluations. Research papers should not have been published or submitted for publication concurrently elsewhere.
* Experience papers, up to 12 pages, describing experiences with the novel application of AI techniques to BPM. Such papers should include clear descriptions of the motivations underlying the use of AI for BPM, the value obtained through the use of AI, and the challenges that needed to be overcome. Experience papers should not have been published or submitted for publication concurrently elsewhere.
* Challenge Statements, up to 6 pages, presenting a position on issues related to the topics of the workshop. These statements would lead to interesting discussion by raising key questions, controversial point of views, challenges, and ideas to address the identified issues. The discussion session(s) will be based on one or more of the Challenge Statements received.
Submission Instructions
Papers should be written in English, following the Springer_LNCS_format. All submissions will be reviewed by the workshop organizers and selected PC members. The submission process will be managed using the Easychair conference management system. Depending on the quality of submissions, we also consider publishing long versions of papers and challenge statements in a special issue of the Journal on Data Semantics or a similar forum.
Important Dates:
Workshop papers submission deadline: 25 May, 2018
Workshop papers notification deadline: 29 June, 2018
Workshop camera-ready papers deadline: 13 July, 2018
Organizers:
* Richard Hull, IBM T.J. Watson Research Center, USA
* Riccardo De Masellis, Stockholm University, Sweden
* Krzysztof Kluza, AGH University of Science and Technology, Poland
* Fabrizio Maria Maggi, University of Tartu, Estonia
* Chiara Di Francescomarino, Fondazione Bruno Kessler, Italy
Steering Committee:
* Boualem Benatallah, University of New South Wales, Australia
* Chiara Ghidini, Fondazione Bruno Kessler, Italy
* Marco Montali, Free University of Bolzano, Italy
* Hamid R. Motahari Nezhad, IBM Almaden Research Center, USA
* Arik Senderovich, Technion - Israel Institute of Technology, Israel
* Biplav Srivastava, IBM T.J. Watson Research Center, USA
* Heiner Stuckenschmidt, University of Mannheim, Germany
Program Committee Co-chairs:
* Richard Hull, IBM T.J. Watson Research Center, USA
* Riccardo De Masellis, Stockholm University, Sweden
Program Committee
To be announced
First workshop on Artificial Intelligence for Business Process Management (AI4BPM)
This is the workshop joining the Business Process Innovation with Artificial Intelligence (BPAI) and the Cognitive Business Process Management (CBPM) workshops.
The field of Artificial Intelligence continues to grow, with new and deeper techniques, and with application across numerous areas. In the past few years we have seen strong interest from both industry and academia in applying AI techniques in the area of Business Process Management. Indeed, the application of AI is impacting additional areas where process management perspectives and techniques are relevant, including industrial engineering, IoT, and emergency response, to name a few. The use of AI in BPM has been discussed as the next disruptive technology that will touch almost all of the business process activities being performed by humans. In some cases AI will dramatically simplify human interaction with a process, in other cases it will extensively support humans in the execution of tasks, and in yet other cases it will enable full automation of tasks that have traditionally required manual contributions. Over time AI may lead to entirely new paradigms for business processes and operations. For example, instead of BPM models centered on process or on case management, we anticipate models that are based fundamentally on goal achievement, as well as we anticipate models that fully enable continuous improvement and adaptation based on experiential learning.
This workshop encourages papers describing original research and industrial experiences that explore how AI can be applied in BPM contexts. The workshop takes a broad view of both AI and BPM.
Aspects of AI relevant to the workshop include (but are not limited to) the following:
* Machine Learning, including Deep Learning
* Natural Language Processing
* Reinforcement learning
* Self-learning and self-adaptive systems
* Recommendation and next-best action approaches
* Constraint Reasoning and related algorithms
* Context extraction techniques from different types of input ranging from scanned images to process descriptions (e.g., user manuals) to “process exhaust” (e.g., call center transcripts)
* Planning systems
* Virtual Assistants
The workshop emphasizes the use of AI in across the spectrum of application areas where process management perspectives and techniques are relevant. In addition to traditional BPM contexts this includes industrial engineering, IoT applications, emergency response, autonomous systems, emerging financial models, infrastructure and technical support services, and others. The workshop topics may include (but are not limited to) the following:
* Techniques for discovering and automating tasks and processes from unstructured data
* Process Mining augmented with Natural Language Understanding against unstructured data
* Knowledge representation and reasoning about process specifications and instances
* Goal-driven approaches to process management
* Virtual assistants to simplify interaction with processes
* AI-enabled creation of virtual assistant dialogues, including automated interaction with back-end systems
* Machine Learning to support automated triage and work assignment
* Machine Learning to enable automated trouble ticket resolution
* AI-enabled automation of exception handling
* Application of AI to (Data-Driven) BPM
* AI-enriched robotic process automation
* AI-enabled creation of robotic process automation solutions
* AI-driven modelling and optimization of business processes
* AI enablement for Knowledge-intensive Processes
* AI-based enrichment of IoT-enabled processes
* Applications of AI for Blockchain-hosted processes
* Applications of AI in managing industrial and manufacturing processes
* Applications of AI in industry-specific business processes (retail, e-commerce, finance, manufacturing, healthcare)
* AI-enabled approaches for enhancing or transforming the BPM lifecycle
* Impact of AI technology on BPM-related standards such as BPMN, CMMN, and DMN
* Non-traditional models and approaches to process management that leverage AI
* Social, economic, and business impacts of infusing AI into process management
Given that the research area of AI for BPM is in its infancy, we especially encourage submissions that explore totally new directions, which step outside of the areas listed above.
Submissions
Type and Content
The activities of the workshop will include presentations of scientific papers and experience reports, and also discussion sessions. We solicit three kinds of submission:
* Research papers, up to 12 pages, describing original and novel research work, including research results and evaluations. Research papers should not have been published or submitted for publication concurrently elsewhere.
* Experience papers, up to 12 pages, describing experiences with the novel application of AI techniques to BPM. Such papers should include clear descriptions of the motivations underlying the use of AI for BPM, the value obtained through the use of AI, and the challenges that needed to be overcome. Experience papers should not have been published or submitted for publication concurrently elsewhere.
* Challenge Statements, up to 6 pages, presenting a position on issues related to the topics of the workshop. These statements would lead to interesting discussion by raising key questions, controversial point of views, challenges, and ideas to address the identified issues. The discussion session(s) will be based on one or more of the Challenge Statements received.
Submission Instructions
Papers should be written in English, following the Springer_LNCS_format. All submissions will be reviewed by the workshop organizers and selected PC members. The submission process will be managed using the Easychair conference management system. Depending on the quality of submissions, we also consider publishing long versions of papers and challenge statements in a special issue of the Journal on Data Semantics or a similar forum.
Important Dates:
Workshop papers submission deadline: 25 May, 2018
Workshop papers notification deadline: 29 June, 2018
Workshop camera-ready papers deadline: 13 July, 2018
Organizers:
* Richard Hull, IBM T.J. Watson Research Center, USA
* Riccardo De Masellis, Stockholm University, Sweden
* Krzysztof Kluza, AGH University of Science and Technology, Poland
* Fabrizio Maria Maggi, University of Tartu, Estonia
* Chiara Di Francescomarino, Fondazione Bruno Kessler, Italy
Steering Committee:
* Boualem Benatallah, University of New South Wales, Australia
* Chiara Ghidini, Fondazione Bruno Kessler, Italy
* Marco Montali, Free University of Bolzano, Italy
* Hamid R. Motahari Nezhad, IBM Almaden Research Center, USA
* Arik Senderovich, Technion - Israel Institute of Technology, Israel
* Biplav Srivastava, IBM T.J. Watson Research Center, USA
* Heiner Stuckenschmidt, University of Mannheim, Germany
Program Committee Co-chairs:
* Richard Hull, IBM T.J. Watson Research Center, USA
* Riccardo De Masellis, Stockholm University, Sweden
Program Committee
To be announced
Journal Promotion
|
| Acta Koreana (Acta Koreana) |
|
| Acta Via Serica (AVS) |
|
| Computers and Concrete (CAC) |
|
| Journal of Information Processing Systems (JIPS) |
|
| Journal of Internet Computing and Services (KSII - JICS) |
|
| Journal of Smart Tourism (Smart Tourism) |
|
| Membrane and Water Treatment (MWT) |
|
| Wind and Structures, An International Journal (Wind and Structures) |
MANUSCRIPTLINK © 2015 -
