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Slides for HNR2020 Keynote presentation
Digitised sources are a treasure trove for scholars, but accessing the information contained in them is far from trivial. Due to scale, traditional methods are insufficient to analyse the big data coming from these sources. Hence, computational methods look to be the solution. Indeed, computational methods can be utilised to identify and model concepts in large digital datasets, however the nature of these datasets as well as that of humanities research questions requires caution. In particular, the ramifications of time and location on understanding concepts cannot be underestimated.
In this talk, Marieke will present ongoing work on computationally tracing concepts through time and across geography using language and semantic web technology. The work illustrates that seemingly simple concepts (e.g. sugar) prove to be much more complex than expected. We discuss the importance of semantics in helping not only to deal with this complexity but reify it so that it can be interrogated both computationally and via expert analysis.
Slides 5, 8, 11, 12, 15, 16, 17, 18, 19, 20 are based the presentation Tabea Tietz gave for the paper "Challenges of Knowledge Graph Evolution from an NLP Perspective" in the WHiSe Workshop @ ESWC 2020 (2 June 2020).