Knowledge Acquisition and Management
(KAM)

Warsaw, Poland, 17–20 September, 2023

Knowledge management is a large multidisciplinary field having its roots in Management and Artificial Intelligence. Activity of an extended organization should be supported by an organized and optimized flow of knowledge to effectively help all participants in their work.

We have the pleasure to invite you to contribute to and to participate in this Thematic Track. It builds on experiences of past events that have been organized for the first time in 1992, as a venue for scientists and practitioners to address different aspects of usage of advanced information technologies in management, with focus on intelligent techniques and knowledge management. In 2003 the focus of the event changed somewhat and it was organized for the first under its current name. Furthermore, it became an international event, with participants from around the world. In 2012 it was merged into FedCSIS becoming a foundation of one of its oldest Thematic Tracks.

The aim of this Thematic Track is to create possibility of presenting and discussing approaches, techniques and tools in the knowledge acquisition and other knowledge management areas with focus on contribution of artificial intelligence for improvement of human-machine intelligence and face the challenges of this century. We expect that the Thematic Track will enable exchange of information and experiences, and delve into current trends of methodological, technological and implementation aspects of knowledge management processes.

Topics

The following group topics, concerning both theory and applications, will be included (unavoidably incomplete):

Knowledge discovery from databases and data warehouses
Methods and tools for knowledge acquisition
New emerging technologies for management
Organizing the knowledge centers and knowledge distribution
Knowledge creation and validation
Knowledge dynamics and machine learning
Distance learning and knowledge sharing
Knowledge representation models
Management of enterprise knowledge versus personal knowledge
Knowledge managers and workers
Knowledge coaching and diffusion
Knowledge engineering and software engineering
Managerial knowledge evolution with focus on managing of best practice and cooperative activities
Knowledge grid and social networks
Knowledge management for design, innovation and eco-innovation process
Business Intelligence environment for supporting knowledge management
Knowledge management in virtual advisors and training
Management of the innovation and eco-innovation process
Human-machine interfaces and knowledge visualization

Thematic Track organizers

Berka, Petr, Prague University of Economics and Business, Czech Republic
Hauke, Krzysztof, Wroclaw University of Economics, Poland
Owoc, Mieczyslaw, Wroclaw University of Economics, Poland
Pondel, Maciej, Wroclaw University of Economics, Poland

Contact: kam@fedcsis.org

Submission rules

Authors should submit their papers as Postscript, PDF or MSWord files.
The total length of a paper should not exceed 12 pages IEEE style (including tables, figures and references). More pages can be added, for an additional fee (see details). IEEE style templates are available here.
Papers will be refereed and accepted on the basis of their scientific merit and relevance to the Topical Area.
Preprints containing accepted papers will be published online.
Only papers presented at the conference will be published in Conference Proceedings and submitted for inclusion in the IEEE Xplore® database.
Conference proceedings will be published in a volume with ISBN, ISSN and DOI numbers and posted at the conference WWW site.
Conference proceedings will be submitted for indexation according to information here.
Organizers reserve right to move accepted papers between FedCSIS Tracks.