Semantic document selection historical research on collections that span multiple centuries

Publication date

2012

Authors

Odijk, Daan
De Rooij, Ork
Peetz, Maria Hendrike
Pieters, ToineORCID 0000-0002-8156-8436ISNI 0000000035417616
De Rijke, Maarten
Snelders, StephenISNI 000000003149928X

Editors

Advisors

Supervisors

Document Type

Part of book
Open Access logo

License

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