Augmenting the knowledge bandwidth and connecting heterogeneous expert communities through uncovering tacit knowledge

This paper presents an approach to exploring how implicit knowledge structures in different communities of experts can be discovered, visualised and employed for semantic navigation of information spaces and construction of new knowledge. The focus is on the developed conceptual model and system for creation and collaborative use of personalised learning knowledge maps. The developed prototype combines semantic text analysis with machine learning and interfaces for visualising relationships and creating new knowledge structures. Application scenarios include automatic generation of personalised knowledge portals, collaborative semantic exploration of complex information spaces and construction of shared ontology networks. The real-world testbed and context of development is the Internet platform netzspannung.org that aims at establishing a knowledge portal connecting digital art, culture and information technology.