Workshop title
AIDKM workshop : « AI–Driven Knowledge Management: bridging explicit and tacit knowledge »
Previous editions of the workshop (if applicable)
This will be the first edition.
Estimated duration (one day or half day)
Half day or one day (depending on the number of accepted articles)
Names, affiliations, and e-mails of PC chairs; A Point-of-Contact should be explicitly designated.
Davy Monticolo, University of Loraine, [email protected]
Marine Cloux, University of Loraine, [email protected]
Short bios of the chairs, including past experiences in organizing events like tracks, workshops, and conferences
Davy Monticolo is a full professor at the University of Lorraine, he teaches digital innovation, artificial intelligence, and agile methods at the department of engineering and innovation. His research lies at the intersection of artificial intelligence and innovation. He has published over thirty articles in the field of artificial intelligence, particularly on multi-agent systems, learning systems, data mining, as well as knowledge engineering and ontologies. He has supervised 12 doctoral theses in these areas. He is a board member of AFIA (French Association for the Promotion of Artificial Intelligence) and has been organizing the international KARE Workshop (Knowledge Reuse Acquisition and Evaluation) in conjunction with the IEEE SITIS conference on knowledge engineering and artificial intelligence topics since 2010.
Marine Clou is a lecturer at the University of Lorraine. Her research focuses otn the evaluation of the impact of artificial intelligence in education. She also teaches agile methods and digital innovation.
Tentative list of PC
- Ezendu Ariwa, London Metropolitan University
- Dickson W.Chiu, The University of Hong Kong
- Andrew Kusiak, University of Iowa
- Lenka Lhotska, Czech Technical University in Prague, of Cybernetics
- Yishuai Lin, Xidian University
- Matta Nada, University of Technology of Troyes
- Jose M Parente De Oliveira, Aeronautics Institute of Technology
- 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
- 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 , United States
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
a. 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.
b. 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.
c. 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.
d. 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.
e. 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.
List of topics
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
Preliminary CFP
This workshop will be a evolution of the KARE workshop (Knowledge Acquisition Reuse and Evaluation) (2008-2023) with the integration of the Artificial Intelligence to support knowledge management. Link of the last edition of the KARE workshop : https://www.sitisconference.org/2022/contribute/workshops/kare/
CFP dissemination strategy
This workshop is designed for:
- Researchers interested in exploring new methodologies for KM using
- Industry professionals seeking practical solutions to implement or improve KM systems within their organizations.
- Decision-makers aiming to future-proof their organizations by leveraging immaterial capital effectively.
To maximize the visibility and impact of th AIDKM “AI-Driven Knowledge Management” workshop several actions will be done :
- Leverage Professor Monticolo’s position on the board of AFIA (French Association for the Promotion of Artificial Intelligence) to distribute the call for papers through their official channels
- Use the established KARE Workshop network built over 15 years (2008-2023) to reach previous participants and contributors
- Distribute through the University of Lorraine and their partner institutions
- Utilize social media platforms (LinkedIn, Twitter, ResearchGate) for regular announcements and updates
- Implement email campaigns targeting researchers in AI, knowledge management, and digital ecosystems
