Call for papers
1st International Workshop on Explainable Knowledge Aware Process Intelligence (EKAPI 2024)
Roccella Jonica (RC), Italy, June 20-22, 2024
Aims and Scope
The first International Workshop on Explainable Knowledge Aware Process Intelligence aims at contributing to the advancement of explainable, knowledge-aware process intelligence and expanding the vibrant community dedicated to addressing challenges in the process mining landscape.
Due to the ongoing digitalization undergone by organizations in recent years, there has been a notable surge in interest in Process Intelligence research. Specifically, the automated extraction of knowledge from the ever-growing volume of event data holds the potential to yield valuable insights for enhancing process execution. Process mining, coupled with AI techniques, plays a pivotal role in this domain, leading the charge in transforming event data into valuable knowledge for companies. Despite the effectiveness of existing techniques, two primary issues persist: the lack of documentation and traceability stemming from ad-hoc procedures, and the use of opaque black-box components. Moreover, there is the need to explore the integration of domain knowledge to steer the knowledge extraction process towards more meaningful outcomes. Thus, in this research area many intriguing problems, that could result in comprehensive sets of techniques for achieving explainable, knowledge-aware process intelligence, are left open.
The goal of the workshop is to motivate researchers from diverse fields to offer significant insights and contributions aimed at addressing the aforementioned challenges in the realm of knowledge-aware process intelligence.
Topics of Interest
Potential submission topics encompass a range of areas, including but not limited to:
Multi-perspective process models incorporating data, time, and resources.
Declarative processes.
Explainable and trustworthy AI for both process management and process mining.
Conversational systems, natural language processing, and human-machine interaction in the context of process management.
Knowledge representation for process management, covering reasoning about actions and processes, planning, and synthesis.
Answer Set Programming for Process mining.
AI techniques for various aspects of process handling, such as discovery, conformance checking, prescriptive and predictive monitoring.
AI techniques for clustering and classification of process execution traces.
Generative AI applied to Process Mining.
Machine learning for event recognition in semi-structured and unstructured data.
Mining techniques, including association rule mining, specification mining, and decision mining from process execution traces.
Declarative-based multi-perspective representation of process traces.
Introduction of novel metrics for measuring process conformance.
Addressing uncertainty in AI for process management.
Exploration of multiagent systems, strategic reasoning, game theory, and mechanism design for multi-party processes.
Consideration of multi-objective optimization, decision-making processes, and continuous improvement.
Examining the concept of value alignment in the context of process management.
Knowledge Aware Conceptual Blending Generative Knowledge Combination
Target Audience
Researchers, academics, and industry professionals with an interest in process mining, artificial intelligence, and business process management.
Submission Guidelines
The workshop targets two kind of contributions:
Original papers, not concurrently submitted elsewhere, concerning aforementioned topics
Short Discussion Papers containing the description of results recently published or accepted for the presentation in première international conferences and journals in the field of explainable knowledge aware process intelligence.
Original papers should not exceed 13 pages, with additional pages allowed exclusively for bibliographic references.
Discussion papers should not surpass 5 pages while additional pages are permitted for bibliographic references only.
Papers, both original and discussion, submitted must be in English and adhere to the CEURART one-column style guidelines (http://ceur-ws.org/Vol-XXX/CEURART.zip)
Submission of papers is electronic through Easychair at:
https://easychair.org/conferences/?conf=ekapi2024
Proceedings
Papers, whether regular or discussion, that are accepted will be incorporated into the conference proceedings and published on CEUR Workshop Proceedings. All accepted contributions will be presented and deliberated upon during the workshop.
Important Dates
Paper Submission Deadline: May 11, 2024 May 17, 2024
Notification of Acceptance: June 2, 2024
Workshop Date: June 20-22, 2024
Organization
General Chairs
Rafael Peñaloza, University of Milano-Bicocca, Milano, Italy
Francesco Ricca, University of Calabria, Rende, Italy
Program Chairs
Ignacio Huitzil, University of Zaragoza, Spain
Giuseppe Mazzotta, University of Calabria, Rende, Italy
Program Committee
Carl Corea, University of Koblenz, Germany
Rik Eshuis, Eindhoven University of Technology, Netherlands
Wolfgang Faber, Alpen-Adria University of Klagefurt, Austria
Marco Mochi, Università degli Studi di Genova, Italy
Alice Tarzariol, Alpen-Adria University of Klagefurt, Italy
Valeria Fionda, University of Calabria, Rende, Italy
Antonio Ielo, University of Calabria, Rende, Italy
Francesco Chiariello, University Federico Secondo, Naples, Italy
Rafael Peñaloza, University of Milano-Bicocca, Italy
Luigi Pontieri, Research Institute ICAR-CNR , Rende, Italy
Francesco Ricca, University of Calabria, Rende, Italy
Gian Carlo Milanese, University of Milano-Bicocca, Milan, Italy
Chiara Di Francescomarino, DISI - University of Trento, Italy
Contact
For inquiries, please contact giuseppe.mazzotta@unical.it