出版社：International Association for Social Science Information Service & Technology
摘要：Ontology engineers worked in close collaboration with experts from the statistical domain in order to develop an ontology of a subset of the Data Documentation Initiative. In this paper, we give a brief overview of the DDI ontology's current status and discuss in detail the most significant use cases associated with the DDI data model's ontology and therefore various benefits for the statistics community. By means of this ontology, DDI data as well as metadata can be published in the Linked Open Data Cloud and as a consequence be combined with an extensive number of datasets from diverse heterogeneous data sources. Researchers will have the opportunity to discover both data and metadata related to multiple studies which are interlinked in the Web of Data. In case a user searches for a specific study and does not know which terms to state, it is necessary to link DDI concepts to external thesaurus concepts. As a result, users' search tasks are facilitated in a significant manner. Semantic Web technologies enable the ability to check the consistency of the overall DDI data model and ease the comparison of DDI elements among multiple DDI instances. Furthermore, external resources like publications related to specific data can be found and linked, if they are semantically specified.
关键词：Semantic Web; Linked Data; Data ; Documentation Initiative; DDI; use cases
