Call for papers
The goal of the AI for BPM workshop is to provide a forum for researchers and professionals interested in understanding, envisioning and discussing the challenges and opportunities of moving from current, largely programmatic approaches for BPM, to emerging forms of AI-enabled BPM. We invite you to submit original papers to be considered for inclusion in the workshop.
Topics of interest
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.
AI4BPM 2018 welcomes submissions that make use of techniques coming from all areas of AI, including (but not limited to) machine learning, search, planning, knowledge representation, information extraction, reasoning, constraint satisfaction, natural language processing, robotics and perception, and multi-agent systems.
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, processes and rules 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)
- Datasets and baselines for AI applied to BPM
- 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.
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, at least 4 and 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.
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.
- Submission (extended):
25 May 20181 June 2018 through the AI4BPM submission page here.
29 June 20184 July 2018
13 July 201820 July 2018