WikiCite/2020 Virtual conference/Floating classifications - Knowledge Organization Systems in past, present and future
Floating classifications - Knowledge Organization Systems in past, present and future[edit]
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Summary[edit]
This presentation looks into the universe of Knowledge Organisation Systems (of well KOS). KOS are made for ordering knowledge and aspire generic validity and stability over time. But, KOS also evolve with the body of knowledge for which they are designed. In general, KOS are complex evolving systems. As bodies of knowledge grow, change and new ones emerge, the need also grows to create layers to connect them. In short, KOS live in the tension between supporting interoperability while serving specific needs. In this presentation we look into the history of KOS (in the case of the Universal Decimal Categorization, the case of WikiCategories) and recent requirements coming from movements as FAIR.
Bio[edit]
Dr. Andrea Scharnhorst is Coordinator of the Research&Innovation group at DANS. In her academic career she moved from statistical physics, to philosophy of science, scientometrics and information sciences. She has published on models of innovation and science dynamics, the Matthew effect in science, the evolution of classification systems, the use of digital research archives, visual interfaces for information navigation, and the application of linked data in the humanities. Often her work entails the transfer of concepts and methods at an interface between physics and social sciences and humanities.
Dr. Scharnhorst coordinated and participated in several EU- and national funded projects. From 2013-2017 she was chair of the COST Action TD1210 "Knowescape". Most recently, she was one of the PI's of the Digging into Data project "Digging into the knowledge graph".
Dr. Scharnhorst publishes regularly in Information Science journals. She is co-editor of the following books:
- Smiraglia, R., A. Scharnhorst (Eds.) (2020) Linking Knowledge. Würzburg, Ergon (in preparation)
- Wouters, Paul, Anne Beaulieu, Andrea Scharnhorst, and Sally Wyatt (Eds.). (2013). Virtual Knowledge. Experimenting in the Humanities and the Social Sciences. Cambridge, Mass.: MIT Press.
- Scharnhorst, Andrea, Katy Börner, and Peter Besselaar (Eds.). (2012). Models of Science Dynamics. Berlin, Heidelberg: Springer Berlin Heidelberg. doi:10.1007/978-3-642-23068-4.
- Pyka, A., A. Scharnhorst (Eds.) (2009) Innovation Networks – New Approaches in Modelling and Analyzing. Springer, Berlin et al. 330 pages