Extracting Historical Social Networks: mining BiographyNet

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About Extracting Historical Social Networks: mining BiographyNet


The BiographyNet data concerns 75.000 Dutch people mentioned in various database. Within the BiographyNet project, we are converting this data to a semantic knowledge base and will create a web demonstrator. The lead questions are: Which relations can we reveal between people and events, geographical movements and networks between people? What do they tell historians about the formation of Dutch society and the ‘boundaries of the Netherlands’?

In this student project, you will combine the biographical data, results from Natural Language Processing and background knowledge to discover relations between people, places and events. The results will form a social network from which interesting features can be deduced. You will design and/or develop a set of (machine learning or rule-based) algorithms combining the heterogeneous information and find appropriate ways of evaluating the results.