Knowledge Structures and Metadata
Knowledge structures can be displayed in terms of information technology, such as the Google’s knowledge graph or Facebook’s open graph. This allows an automated use of knowledge (Knowledge Engineering). This trend is developing to an essential tool to structure knowledge and to optimize knowledge heavy work processes in companies. The application of semantic technologies onto knowledge structures enables to engineer and provide more intelligent applications and processes We would like to offer consultation, intermediation and networking in relation with computer supported knowledge structures.
Metadata are data which describe structured or non-structured data collections, for example documents and document libraries. They provide a possibility to structure landscapes of knowledge, and therefore making implicitly available knowledge usable. Metadata can be assigned in the framework of a taxonomy/ontology or free vocabulary (folksonomy) or even by a combination of these two frameworks. While taxonomies in libraries and large databases are allocated already for a long time, the definition of a metadata model and the use of enterprise ontologies are often new territories for companies. The KSM expert group functions as a link between people to collect and exchange new experiences.
Therefore, we invite people from the economy, industry, administration and research who are curious and interested to get in contact with us.
President, Prof. Dr. Edy Portmann (University of Berne)
Treasurer, Dr. Michael Kaufmann (FIVE Informatics/Kalaidos FH)
PR/Events organisation, Dr. Gwendolin Wilke (FHNW)
Member of the Board, Prof. Dr. Ulrich Reimer (FHSG)
Administration, Michelle Ballmer (University of Berne – IWI / Dept. Information Management)