Knowledge Systems

How can we design open knowledge systems using semantic web technologies?

How can we infer new data based on the data sets we digitise?

How can we simulate missing data sets based on patterns detected?

How can any uncertainty linked with these reconstructions be assessed?

How can we conduct simulation simultaneously at different scales?

How can the inference, extrapolation and simulation rules be attached to the data they produce in order to document this process?

Publications

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Encoding metaknowledge for historical databases

M.-A. Nuessli; F. Kaplan

2014. Digital Humanities 2014 , Lausanne, Switzerland , July 7-12, 2014. p. 288-289.

Historical knowledge is fundamentally uncertain. A given account of an historical event is typically based on a series of sources and on sequences of interpretation and reasoning based on these sources. Generally, the product of this historical research takes the form of a synthesis, like a narrative or a map, but does not give a precise account of the intellectual process that led to this result. Our project consists of developing a methodology, based on semantic web technologies, to encode historical knowledge, while documenting, in detail, the intellectual sequences linking the historical sources with a given encoding, also know as paradata. More generally, the aim of this methodology is to build systems capable of representing multiple historical realities, as they are used to document the underlying processes in the construction of possible knowledge spaces.