Semantic document selection historical research on collections that span multiple centuries
Publication date
2012
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taverne
Abstract
The availability of digitized collections of historical data, such as newspapers, increases every day. With that, so does the wish for historians to explore these collections. Methods that are traditionally used to examine a collection do not scale up to today's collection sizes. We propose a method that combines text mining with exploratory search to provide historians with a means of interactively selecting and inspecting relevant documents from very large collections. We assess our proposal with a case study on a prototype system.
Keywords
Taverne, Theoretical Computer Science, General Computer Science
Citation
Odijk, D, De Rooij, O, Peetz, M H, Pieters, T, De Rijke, M & Snelders, S 2012, Semantic document selection historical research on collections that span multiple centuries. in Theory and Practice of Digital Libraries - Second International Conference, TPDL 2012, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7489 LNCS, Springer, pp. 215-221, 2nd International Conference on Theory and Practice of Digital Libraries, TPDL 2012, Paphos, Cyprus, 23/09/12. https://doi.org/10.1007/978-3-642-33290-6_24, conference