DFKI-LT - Modeling the semantics of contextual and content-specific research metadata using ontology languages: issues on combining CERIF and OWL
Modeling the semantics of contextual and content-specific research metadata using ontology languages: issues on combining CERIF and OWL
1 Procedia Computer Science, Omaha, Nebraska, USA, Elsevier, University of Nebraska at Omaha, The Netherlands, 6/2012
Current Research Information Systems (CRISs) enable the maintenance of information related to research activities of organizations and their members, including outputs or products from these activities. Such contextual information is of uttermost importance for the processing of datasets and with the retrieval of scientific documents, providing e.g. the key information on provenance and characteristics of research activities that are needed when searching for data or scholarly content. In the context of the expanding initiative of the Web of Linked Data, translating that information into semantic languages enables new ways of querying benefitting from the reuse of domain ontologies. In that direction, this paper reports on the engineering of an ontology-based version of the CERIF standard for CRISs using the OWL language and a proposed mapping to research datasets.