Rupp, C. J. and Rayson, Paul and Gregory, Ian and Hardie, Andrew and Joulain, Amelia and Hartmann, Daniel (2014) Dealing with heterogeneous big data when geoparsing historical corpora. In: Proceedings of the 2014 IEEE International Conference on Big Data :. IEEE, pp. 80-83. ISBN 9781479956654
Full text not available from this repository.Abstract
It has long been known that ‘variety’ is one of the key challenges and opportunities of big data. This is especially true when we consider the variety of content in historical corpora resulting from large-scale digitisation activities. Collections such as Early English Books Online (EEBO) and the British Library 19th Century Newspapers are extremely large and heterogeneous data sources containing a variety of content in terms of time, location, topic, style and quality. The range of geographical locations referenced in these corpora poses a difficult challenge for state of the art geoparsing tools. In the context of our work on Spatial Humanities analyses, we present our solution for dealing with the variety and scale of these corpora.