Name
Title | ||
|---|---|---|
Leveraging the DDI model for linked statistical data in the social, behavioural, and economic sciences |
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. |
Year | Venue | Field |
|---|---|---|
2012 | Dublin Core Conference | Data science,Ontology (information science),Ontology-based data integration,Ontology,Conceptual model,Computer science,Data Documentation Initiative,Linked data,Documentation,RDF |
DocType | Citations | PageRank |
Conference | 7 | 0.77 |
References | Authors | |
3 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thomas Bosch | 1 | 37 | 7.88 |
| Richard Cyganiak | 2 | 3204 | 189.59 |
| Joachim Wackerow | 3 | 17 | 7.62 |
| Benjamin Zapilko | 4 | 59 | 14.01 |