Modeling the Context of Scientific Information: Mapping VIVO and CERIF
Institutional repositories (IR) and Current Research Information Systems (CRIS) among other kinds of systems store and manage information on the context in which research activity takes place. Several models, standards and ontologies have been proposed to date as a solution to give coherent semantics to research information. These present a large degree of overlap but also present very different approaches to modeling. This paper presents a contrast of two of the more widespread models, the VIVO ontology and the CERIF standards, and provides directions for mapping them in a way that enables clients to integrate data coming from heterogeneous sources. The majority of mapping problems have risen from the representation of VIVO sub-hierarchies in CERIF as well as from the representation of CERIF attributes in VIVO.
KeywordsCERIF VIVO CRIS research information scientific information ontologies knowledge representation mapping
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- 1.Gibbons, M.: The new production of knowledge: the dynamics of science and research in contemporary societies. SAGE (1994)Google Scholar
- 2.Zimmerman, E.: CRIS-Cross: current research information systems at a cross-roads. In: Proceedings: Gaining Insight from Research Information, at the 6th International Conference on Current Research Information Systems, Kassel, Germany (2002)Google Scholar
- 4.Jörg, B.: CERIF: The common European research information format model. Data Science Journal 9, 24–31 (2010)Google Scholar
- 5.Krafft, D.B., Cappadona, N.A., Caruso, B., Corson-Rikert, J., Devare, M., Lowe, B.J.: Vivo: Enabling national networking of scientists. In: Proceedings of the WebSci 2010: Extending the Frontiers of Society On-Line, Raleigh, US (2010)Google Scholar
- 6.Jörg, B., Ojars, K., Jeffery, K., van Grootel, G.: CERIF XML 2008 – 1.0 Data Exchange Format (2009)Google Scholar
- 7.Jörg, B., Jeffery, K., Dvořák, J., Houssos, N., Asserson, A., van Grootel, G.: CERIF 1.3 Full Data Model (FDM) - Introduction and Specification (2012)Google Scholar