Abstract
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.
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Gibbons, M.: The new production of knowledge: the dynamics of science and research in contemporary societies. SAGE (1994)
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)
Sicilia, M.-Á.: On Modeling Research Work for Describing and Filtering Scientific Information. In: Sánchez-Alonso, S., Athanasiadis, I.N. (eds.) MTSR 2010. CCIS, vol. 108, pp. 247–254. Springer, Heidelberg (2010)
Jörg, B.: CERIF: The common European research information format model. Data Science Journal 9, 24–31 (2010)
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)
Jörg, B., Ojars, K., Jeffery, K., van Grootel, G.: CERIF XML 2008 – 1.0 Data Exchange Format (2009)
Jörg, B., Jeffery, K., Dvořák, J., Houssos, N., Asserson, A., van Grootel, G.: CERIF 1.3 Full Data Model (FDM) - Introduction and Specification (2012)
Ivanovic, D., Surla, D., Konjovic, Z.: CERIF compatible data model based on format. The Electronic Library 29, 52–70 (2011)
Ivanovic, D., Surla, D., Racković, M.: A CERIF data model extension for evaluation and quantitative expression of scientific research results. Scientometrics 86, 155–172 (2010)
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© 2012 Springer-Verlag Berlin Heidelberg
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Lezcano, L., Jörg, B., Sicilia, MA. (2012). Modeling the Context of Scientific Information: Mapping VIVO and CERIF. In: Bajec, M., Eder, J. (eds) Advanced Information Systems Engineering Workshops. CAiSE 2012. Lecture Notes in Business Information Processing, vol 112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31069-0_11
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DOI: https://doi.org/10.1007/978-3-642-31069-0_11
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