出版社：International Association for Social Science Information Service & Technology
摘要：Ontology engineers and experts from the social, behavioral, and economic sciences developed a data discovery ontology covering a subset of both the DDI Codebook and Lifecycle models, and implemented a rendering of DDI XML instances to RDF (Resource Description Framework). The main goals associated with the design process of the DDI ontology were to reuse widely adopted and accepted ontologies like Dublin Core (DC) and Simple Knowledge Organization System (SKOS) and also to define meaningful relationships to the RDF Data Cube vocabulary. Now, organizations have the possibility to publish their DDI data and metadata in RDF and link it with many other datasets from the Linked Open Data (LOD) cloud. As a consequence, a huge number of related DDI instances can be discovered, queried, connected, and harmonized. The combination of DDI metadata (as well as data) from several organizations, based on this RDF discovery (Disco) vocabulary, will enable powerful derivations of implicit knowledge out of explicitly stated pieces of information.
