[DL] Call of Paper : Workshop on AI-Driven Knowledge Management: bridging explicit and tacit knowledge Knowledge Acquisition Reuse & Evaluation (AIDKM 2025)
Davy Monticolo
davy.monticolo at univ-lorraine.fr
Mon Aug 18 09:39:12 CEST 2025
** Calll for Papers - please circulate this CFP to your colleagues and networks **
-- International Workshop on AI-Driven Knowledge Management --
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[ https://conferences.sigappfr.org/medes2025/proposal-for-the-first-edition-of-the-aidkm-workshop-ai-driven-knowledge-management-bridging-explicit-and-tacit-knowledge/ | https://conferences.sigappfr.org/medes2025/proposal-for-the-first-edition-of-the-aidkm-workshop-ai-driven-knowledge-management-bridging-explicit-and-tacit-knowledge/ ]
in conjunction with the THE 17TH INTERNATIONAL CONFERENCE ON MANAGEMENT OF DIGITAL ECOSYSTEMS (MEDES 2025). Ranked C (Core)
HO CHI MINH, Vietnam –November 24-26, 2025
[ https://conferences.sigappfr.org/medes2025/ | https://conferences.sigappfr.org/medes2025/ ]
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IMPORTANT DATES
- Regular paper submission deadline : 05 September, 2025
- Notification to authors: 25 September, 2025
- Camera-ready and copyright submission deadline : 01 October, 2025
- Authors registration deadline: 01 October, 2025
Main goals of the workshop
Since the 1990s, Knowledge Management (KM) has been a cornerstone of organizational success, addressing the growing need to manage both explicit knowledge (codified information) and tacit knowledge (personal insights and experiences). In today’s fast- paced digital ecosystem, organizations increasingly recognize that their most valuable asset is their immaterial capital is the collective expertise, skills, and experiences of their members. Effectively managing this capital is no longer optional; it is a strategic imperative to enhance innovation, decision-making, and economic performance.
This workshop will explore how Artificial Intelligence (AI) is revolutionizing KM by enabling organizations to capture, share, and transfer knowledge more efficiently. AI- powered tools such as generative AI, ontology-based systems, and agent-based approaches are transforming how explicit and tacit knowledge is identified, organized, and utilized. These advancements not only enhance organizational memory but also foster a culture of continuous learning and innovation.
The workshop aims to bring together researchers and practitioners from diverse disciplines to discuss cutting-edge methodologies, tools, and real-world applications of AI in KM. It will highlight successful implementations while also addressing challenges and lessons learned from less successful projects.
Benefits & Novelty of the Workshop
Bridging Explicit and Tacit Knowledge with AI
The workshop emphasizes how AI can address one of the most persistent challenges in KM: converting tacit knowledge into explicit formats while preserving its contextual richness. For example, AI-powered tools can analyze patterns in employee interactions to identify hidden expertise or automate the codification of best practices.
Practical Applications Across Industries
Participants will explore case studies from various sectors—healthcare, finance, manufacturing—showcasing how AI-driven KM systems have improved decision- making, reduced knowledge silos, and enhanced organizational agility.
Fostering Innovation through Intelligent Ecosystems
By integrating KM with digital ecosystems, organizations can create self-evolving systems that adapt to changing needs. For instance, generative AI models can proactively suggest improvements to workflows based on historical data.
Future-Proofing Organizations
With hybrid work models becoming the norm, this workshop will demonstrate how cloud-based KM platforms powered by AI ensure seamless access to critical knowledge anytime, anywhere.
Interdisciplinary Collaboration
The workshop will serve as a platform for cross-disciplinary dialogue between experts in artificial intelligence, information systems, organizational behavior, and knowledge economy.
Topics for the workshop include, but are not limited to:
· AI Techniques for Tacit Knowledge Extraction and Transfer Generative
· AI for Knowledge Creation and Summarization
· Ontology Engineering and Semantic Technologies in KM
· Knowledge Graphs and Linked Data for Enterprise KM
· AI-Enhanced Collaboration and Social Computing for Knowledge Sharing
· Explainable AI for Transparent Knowledge Management Systems
· AI-Driven Organizational Learning and Adaptive KM Systems
· Evaluation Metrics and Maturity Models for AI-Enabled KM
· Privacy, Ethics, and Trust in AI-Based Knowledge Systems
· Integration of IoT and AI for Real-Time Knowledge Management
· Case Studies and Lessons Learned from AI-Driven KM Implementations
· Big Data Analytics for knowledge management
Submission
We invite short papers (4-6 pages) and full papers (8-12 pages) in ACM format. All accepted papers will be presented at the workshop and included in the MEDES 2025 proceedings.
Workshop Co-Chairs
Davy Monticolo , University of Lorraine, France
Anass El Haddadi , Abdelmalek Essaadi University, Al-Hoceima, Morocco
Marine Cloux , University of Lorraine, France
Program Committee
· Ezendu Ariwa , London Metropolitan University
· Dickson K.W.Chiu , The University of Hong Kong
· Andrew Kusiak , University of Iowa
· Lenka Lhotska , Czech Technical University in Prague, Dept. of Cybernetics
· Yishuai Lin , Xidian University
· Matta Nada , University of Technology of Troyes
· Jose M Parente De Oliveira , Aeronautics Institute of Technology
· Jan Martijn Van Der Werf , Department of Information and Computing Sciences, Utrecht University
· Inaya Lahoud , Galatasaray University
· Rahma Dhaouadi , SOIE LI3
· Uwe Riss , SAP (Switzerland) AG
· Abdelhadi Fennan , Abdelmalek Essaadi University, Tangier, Morocco
· Mohamed Bouhorma , Abdelmalek Essaadi University, Tangier, Morocco
· Said Hamdioui , Delft University of Technology, Nederland
· Jaber El Bouhdidi , Abdelmalek Essaadi University, Tetouan, Morocco
· Dieudonné Tchuente , Toulouse Business School, Toulouse, France
· Mohamed El Yaakoubi , Ibn Zohr University, Agadir, Morocco
· Mohamed Ben Ahmed , Abdelmalek Essaadi University, Tangier, Morocco
· Kenji Saito , Keio University, Japan
· M. Nasseh Tabrizi , East Carolina University, USA
· Marite Kirikova , Riga Technical University, Latvia
· Martine Cadot , LORIA laboratory, University of Nancy1, France
· Owen Molloy , National University of Ireland, Galway, Ireland
· Paul Mc Kevitt , University of Ulster, Ireland
· Quang Nhat Nguyen , Hanoi University of Science and Technology, Vietnam
· Theodore Trafalis , University of Oklahoma, United States
· Xingquan Zhu , University of Technology Sydney, Australia
· Yonggang Zhang , Ingenuity Systems Inc., United States
Contact [ mailto:davy.monticolo at univ-lorraine.fr | davy.monticolo at univ-lorraine.fr ]
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