Visualizing the Evolution of Different Knowledge Orders-New trends in eHumanities

Andrea Scharnhorst et al, Knowledge Space Lab, KNAW eHumanities Group

DATE

January 20, 2011

Visualizing the Evolution of Different Knowledge Orders
In the last 15 months the Knowledge Space Lab team has worked on aspects of how to visualize different knowledge orders. Knowledge orders are structures which emerge in the production of knowledge. They can be provided as a mean to structure knowledge as present in a collection of work/objects (think in terms of library collection, musea or discipline specific bibliographic databases) or they can be derived from attributes of the objects in such collections themselves. To give an example, in the Web of Science, one can search for data or analyze data using subject categories (provided structure) or one can extract groups, communities, links from the attributes of the referenced work themselves (related references, citation networks, co-authorship networks, journal maps). The Knowledge Space Lab has look into two different systems:
• as example for an expert-discourse driven knowledge order system we looked into the Universal Decimal Classification – UDC
• as example for a object-attribute driven knowledge system we looked into the Wikipedia link structure (in particular the links between category pages)
We will present the results in a team presentation with the following parts:
• Andrea Scharnhorst: Introduction in the project – history – lessons
• Cheng Gao: The evolution of the UDC: how to visualize tree structures over time
• Almila Sahal: Structure and meaning – when semantics penetrates link analysis
• Krzsysztof Suchecki: Wikipedia as complex network – visualization and analytics
As introduction to the project please find attached a short paper submitted to the journal Leonardo Transactions (a journal at the interface between science and arts).