Abstract
This paper discusses the use of semantic technologies to increase quality, machine-processability, format translatability and cross-querying of complex tabular datasets. Our interest is to enable longitudinal studies of social processes in the past, and we use the historical Dutch censuses as case-study. Census data is notoriously difficult to compare, aggregate and query in a uniform fashion. We describe an approach to achieve this, discussing results, trade-offs and open problems.
Chapter PDF
Similar content being viewed by others
References
Boonstra, O., et al.: Twee eeuwen Nederland geteld. Onderzoek met de digitale Volks-, Beroeps- en Woningtellingen 1795–2001. DANS en CBS (2007)
Meroño-Peñuela, A., Ashkpour, A., Rietveld, L., Hoekstra, R., Schlobach, S.: Linked humanities data: The next frontier? a case-study in historical census data. In: Proceedings of the 2nd International Workshop on Linked Science (LISC 2012). International Semantic Web Conference, ISWC (2012), http://ceur-ws.org/Vol-951/
Wang, S., Schlobach, S., Klein, M.C.A.: What is concept drift and how to measure it? In: Cimiano, P., Pinto, H.S. (eds.) EKAW 2010. LNCS, vol. 6317, pp. 241–256. Springer, Heidelberg (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Meroño-Peñuela, A., Hoekstra, R., Scharnhorst, A., Guéret, C., Ashkpour, A. (2013). Longitudinal Queries over Linked Census Data. In: Cimiano, P., Fernández, M., Lopez, V., Schlobach, S., Völker, J. (eds) The Semantic Web: ESWC 2013 Satellite Events. ESWC 2013. Lecture Notes in Computer Science, vol 7955. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41242-4_54
Download citation
DOI: https://doi.org/10.1007/978-3-642-41242-4_54
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-41241-7
Online ISBN: 978-3-642-41242-4
eBook Packages: Computer ScienceComputer Science (R0)