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. © Springer-Verlag 2013.
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CITATION STYLE
Meroño-Peñuela, A., Hoekstra, R., Scharnhorst, A., Guéret, C., & Ashkpour, A. (2013). Longitudinal queries over linked census data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7955 LNCS, pp. 306–307). https://doi.org/10.1007/978-3-642-41242-4_54
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