Longitudinal queries over linked census data

Albert Meroño-Peñuela, Rinke Hoekstra, Andrea Scharnhorst, Christophe Guéret, Ashkan Ashkpour

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

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.

Original languageEnglish
Title of host publicationThe Semantic Web - ESWC 2013 Satellite Events, Revised Selected Papers
Pages306-307
Number of pages2
DOIs
StatePublished - 2013
Externally publishedYes
EventESWC 2013 Satellite Events: The Semantic Web - Montpellier, France
Duration: May 26 2013May 30 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7955 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceESWC 2013 Satellite Events: The Semantic Web
Country/TerritoryFrance
CityMontpellier
Period05/26/1305/30/13

Fingerprint

Dive into the research topics of 'Longitudinal queries over linked census data'. Together they form a unique fingerprint.

Cite this