Cited By
View all- Lagoze CVilhuber LWilliams JPerry BBlock WBuchanan GKlein MRauber ACunningham S(2014)CED2ARProceedings of the 14th ACM/IEEE-CS Joint Conference on Digital Libraries10.5555/2740769.2740815(267-276)Online publication date: 8-Sep-2014
Leveraging the DDI model for linked statistical data in the social, behavioural, and economic sciences
Authors: 
Thomas Bosch, Richard Cyganiak, Joachim Wackerow, and Benjamin ZapilkoAuthors Info & Claims
Thomas Bosch, Richard Cyganiak, Joachim Wackerow, and Benjamin ZapilkoAuthors Info & ClaimsSeptember 2012
Pages 46 - 55
Abstract
Experts from the statistical domain worked in close collaboration with ontology engineers to develop an ontology of a subset of the Data Documentation Initiative, an established international standard for the documentation and management of data from the social, behavioral, and economic sciences. Experts in the statistics domain formulated use cases which are seen as most significant to solve frequent problems. Various benefits for the Linked Data and the statistics community as well are connected with an RDF representation of the developed ontology. In the main part of the paper, the DDI conceptual model as well as implementations are explained in detail.
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Published: 03 September 2012
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View all- Lagoze CVilhuber LWilliams JPerry BBlock WBuchanan GKlein MRauber ACunningham S(2014)CED2ARProceedings of the 14th ACM/IEEE-CS Joint Conference on Digital Libraries10.5555/2740769.2740815(267-276)Online publication date: 8-Sep-2014
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