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How to Infer an Ontology of the Data Documentation Initiative?

Presenter 1
Thomas Bosch
Gesis - Leibniz Institute for the Social Sciences

In close collaboration with domain experts, ontology engineers have designed a first draft of an ontology, describing the DDI data model's conceptual components which are most relevant in queries and use cases. XML Schemas express the vocabulary and the syntactic structure of XML documents representing both DDI data and meta-data. There is a huge amount of XML document instances, which has to be mapped to the RDF representation of the developed DDI domain ontology, in order to reuse already existing DDI data and meta-data and to profit from the benefits associated with the RDF format. A manual mapping, however, requires a lot of time, is very error-prone, and therefore not applicable. The authors devised a generic approach which converts unexceptionally any XML Schemas to generated ontologies automatically using XSLT transformations. Domain ontologies, such as an ontology of the DDI, can be derived automatically on the basis of the generated ontologies using SWRL rules. As a consequence, all the information, located in the underlying XML Schemas and associated XML documents, is also expressed in the DDI ontology and its RDF representation. Subsequently, ontology engineers will add supplementary domain-specific semantic information, not represented in the XML Schemas, to the DDI ontology.

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