Longitudinal queries over linked census data

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7955 LNCS, Issue , 2013, Pages 306-307

  Meroño Peñuela, Albert ^a,b   Hoekstra, Rinke ^a   Scharnhorst, Andrea ^b   Guéret, Christophe ^b   Ashkpour, Ashkan ^c  

^a VU UNIVERSITY AMSTERDAM   (Netherlands)

^b Afdeling Moleculaire Opthalmogenetica   (Netherlands)

^c INTERNATIONAL INSTITUTE OF SOCIAL HISTORY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

CENSUS DATA; LONGITUDINAL STUDY; SEMANTIC TECHNOLOGIES; SOCIAL PROCESS; TRANSLATABILITY;

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; COMPUTERS;

POPULATION STATISTICS;

EID: 84893807349     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-41242-4_54     Document Type: Conference Paper

References (3)

1. Boonstra, O., et al.: Twee eeuwen Nederland geteld. Onderzoek met de digitale Volks-, Beroeps- en Woningtellingen 1795-2001. DANS en CBS (2007)
2. 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/
3. 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)