*** Please accept our apologies if you receive multiple copies of this CFP ***

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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://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsites.google.com%2Funical.it%2Fekapi-2024%2Fhome&data=05%7C02%7C%7C1e2234d3164e4723b72b08dc4401e292%7Ccc7df24760ce4a0f9d75704cf60efc64%7C0%7C0%7C638460026786045234%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C40000%7C%7C%7C&sdata=wbxl6cqGnMQXN94AlBq1mEGurv8VP%2FYFNW6MiIF%2FLUg%3D&reserved=0
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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 
(https://eur02.safelinks.protection.outlook.com/?url=http%3A%2F%2Fceur-ws.org%2FVol-XXX%2FCEURART.zip&data=05%7C02%7C%7C1e2234d3164e4723b72b08dc4401e292%7Ccc7df24760ce4a0f9d75704cf60efc64%7C0%7C0%7C638460026789170323%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C40000%7C%7C%7C&sdata=TWYF3Eaof97LUvo7cPX5eIouHN5h2RdRPSvBIl4DOOs%3D&reserved=0)
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://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Feasychair.org%2Fconferences%2F%3Fconf%3Dekapi2024&data=05%7C02%7C%7C1e2234d3164e4723b72b08dc4401e292%7Ccc7df24760ce4a0f9d75704cf60efc64%7C0%7C0%7C638460026789170323%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C40000%7C%7C%7C&sdata=PENALtgxgYGADyVU4c%2Fs3v%2FwLyIAzBlSRW3AS5fpM00%3D&reserved=0

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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://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.clubhotelkennedy.com%2F&data=05%7C02%7C%7C1e2234d3164e4723b72b08dc4401e292%7Ccc7df24760ce4a0f9d75704cf60efc64%7C0%7C0%7C638460026789170323%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C40000%7C%7C%7C&sdata=fb%2F%2B%2FP625kcxMu%2FgPq30Q76T8M6DB1GaIIPl603w6Ag%3D&reserved=0),
 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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