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Call for Papers 1st International Workshop on Explainable Knowledge Aware Process Intelligence (EKAPI 2024)
Roccella Jonica (RC), Italy
June 20-23
https://sites.google.com/unical.it/ekapi-2024/home
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Important Dates
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Paper Submission Deadline: May 5, 2024
Notification of Acceptance: May 30, 2024
Workshop Date: June 20-23, 2024
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Scope
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The integration of process mining and AI techniques is crucial for transforming event data into valuable insights for improving process execution. However, current approaches face challenges such as lack of documentation, traceability issues, and the use of opaque black-box components. The first International Workshop on Explainable Knowledge Aware Process Intelligence aims at motivating researchers from diverse fields to offer significant insights and contributions aimed at addressing the aforementioned challenges in the realm of knowledge-aware process intelligence.
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Target Audience
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Researchers, academics, and industry professionals with an interest in process mining, artificial intelligence, knowledge representation, and business process management.
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Overview
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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.
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Topics of Interests
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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.
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Publication
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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 discussed during the workshop.
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Submission Guidelines
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Papers submitted must be in English and adhere to the CEURART style guidelines (http://ceur-ws.org/Vol-XXX/CEURART.zip)
Original papers, not concurrently submitted elsewhere, should not exceed 13 pages, with additional pages allowed exclusively for bibliographic references.
Discussion papers should not surpass 5 pages and must report results already published or accepted at international conferences. Additional pages are permitted for bibliographic references only.
Submission of papers is electronic through Easychair at: https://easychair.org/conferences/?conf=ekapi2024
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Venue
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EKAPI will be held in Roccella Ionica (RC), Italy. Roccella features an unspoiled stretch of the Ionian Sea, recognized with numerous blue flags for its pristine waters. Tracing its roots back to Greek colonization, the town, once named Aracella, unveils its history through picturesque alleys and coastal districts like Zirgone and Sant'Antonio. Offering year-round appeal, Roccella Ionica truly comes to life in summer with its enchanting beach, sophisticated marina, and the esteemed Roccella Jazz Festival - Mediterranean Rumors, boasting thirty-nine editions and international acclaim. The conference location is the Club Hotel Kennedy in Roccella Ionica (https://www.clubhotelkennedy.com), Reggio Calabria, situated on the marvelous Jasmine Coast.
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Organization
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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
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Program Committee
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Rafael Peñaloza, Associate Professor at University of Milano-Bicocca, Italy
Luigi Pontieri, Senior Researcher at research institute ICAR-CNR , Rende, Italy
Francesco Ricca, Full Professor at University of Calabria, Rende, Italy
Antonio Ielo, PhD student at University of Calabria, Rende, Italy
Francesco Chiariello, Post-Doc at University Federico Secondo, Naples, Italy
Valeria Fionda, Associate Professor at University of Calabria, Rende, Italy
Alice Tarzariol, Post-Doc at Alpen-Adria University of Klagefurt
Marco Mochi, PhD Student at Università degli Studi di Genova
Wolfgang Faber, Full Professor at Alpen-Adria University of Klagefurt
Carl Corea, University of Koblenz, Germany
Rik Eshuis, Eindhoven University of Technology, Netherlands
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Sponsors
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Department of Mathematics and Computer Science (DEMACS) - University of Calabria, Italy
PRIN project PINPOINT funded by the Italian Ministry of Research (MUR) - CUP H23C22000280006
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