Modeling the semantics of contextual and content-specific research metadata using ontology languages: issues on combining CERIF and OWL

Joerg, Brigitte ORCID: https://orcid.org/0000-0001-7941-8108, Lappalainen, Jaakko and Kastrantas, Kostas (2012) Modeling the semantics of contextual and content-specific research metadata using ontology languages: issues on combining CERIF and OWL. Hesham, Ali, Yong, Shi, Khazanchi, Deepak, Lees, Michael, van Albada, G. Dick, Dongarra, Jack and Sloot, Peter M.A., eds. Proceedings International Conference on Computational Science, Vol 9, pp. 1563 - 1570. In: ICCS 2012, 04 - 06 Jun 2012, Omaha, Nebraska. . ISSN 1877-0509 [Conference or Workshop Item] (doi:10.1016/j.procs.2012.04.171)

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Abstract

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.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Series: Procedia Computer Science 9 (2012)
Keywords (uncontrolled): CERIF; Research Information Systems; CRIS; ontologies; OWL; datasets
Research Areas: A. > Library and Student Support
Item ID: 31078
Notes on copyright: © 2012 Published by Elsevier Ltd. Open access under CC BY-NC-ND license.
Useful Links:
Depositing User: Brigitte Joerg
Date Deposited: 27 Sep 2020 20:01
Last Modified: 27 Sep 2020 20:01
URI: https://eprints.mdx.ac.uk/id/eprint/31078

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