Aims

To develop advanced methods for organizing, accessing and exploiting multidisciplinary knowledge within organisations and enterprises.
To bring together various areas of KM research and technology to meet this challenge, e.g. knowledge transfer and modelling, optimisation, natural language understanding, speech and image processing and understanding, reasoning methods, learning methods, communication methods, social aspects, complex problem solving, decision support, human-machine interaction, serious games.
To develop technology for intelligent support of Knowledge Cultivators, e.g. intelligent knowledge navigation systems, multi modal interface, automatic translation, competency management, e- and m-activities such as learning, collaborative research and design, business, process control.
To share the worldwide experience in the above domains.