Abstract
It is known, that research is a key driver of innovation. Not only are governments interested in ongoing activities and outcomes, but also managers, researchers, the media, and increasingly society as such. Research Information is naturally stored in information systems by means of an underlying conceptual model to describe the system entities by their attributes and relationships. Socalled ‘conceptual models’ do usually not employ the vocabularies or rules required at application levels. Where research information systems are gaining ground, they are recognized as valuable for maintaining multiple vocabularies, in support of inter-system operation, information integration and re-use, and for the better understanding of Research as a domain and thus its ontological foundation. We propose a model-driven framework for developing a sharable Research vocabulary based on CERIF1, which scales to serving multiple stakeholders.
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References
Alexander, K., Cyganiak, R., Hausenblas, M.: Describing Linked Datasets – On the Design and Usage of void, the “Vocabulary of Interlinked Datasets”. In: Proceedings of Linked Data on the Web Workshop LDOW 2009, Int. WWW Conference (2009)
Asserson, A., Jeffery, K.: Research Output Publications and CRIS. In: Nase, A., Van Grootel, G. (eds.) Proceedings of CRIS 2004, pp. 29–40. Leuven University Press, Leuven (2004)
Batini, C., Lenzerini, M., Navathe, S.B.: A Comparative Analysis of Methodologies for Database Schema Integration. ACM Computing Surveys 18(4), 323–364 (1986)
Bray, T., Paoli, J., Sperberg-McQueen, C.M., Maler, E., Yergeau, F.: Extensible Markup Language (XML) 1.0, 5th edn. W3C Recommendation (November 2008)
Carey, J.: Faculty of 1000 and VIVO: Invisible Colleges and Team Science. Issues in Science and Technology Librarianship (Spring 2011)
Dublin Core Metadata Element Set: [DCMI Recommendation] standardized as ISO 15836: 2009. Dublin Core Metadata Initiative (2009)
DG General Expert Group: Assessing Europe’s University-Based Research. DG General for Research, European Commission (2010)
Fugazza, C., Dupke, S., Vaccari, L.: Matching SKOS Thesauri for Spatial Data Infrastructures. In: Sánchez-Alonso, S., Athanasiadis, I.N. (eds.) MTSR 2010. CCIS, vol. 108, pp. 211–221. Springer, Heidelberg (2010)
Guarino, N.: Formal Ontologies and Information Systems. In: Guarino, N. (ed.) Proceedings of FOIS 1998, pp. 3–15. IOS Press, Amsterdam (1998)
Guarino, N., Welty, C.: An Overview of OntoClean. In: Staab, S., Studer, R. (eds.) Handbook on Ontologies, International Handbook on Information Systems, pp. 151–172. Springer, Heidelberg (2003/2004)
Hornbostel, H.: From CRIS to CRIS: Integration and Interoperability. In: Asserson, A., Simons, E.J. (eds.) 8th CRIS Confernce on Enabling Interaction and Quality: Beyond the Hanseatic League, pp. 29–38. Leuven University Press, Leuven (2006)
Ivanovic, D.: Data Exchange between CRIS UNS, Institutional Repositories and Library Information Systems. In: Proceedings of 5th International Quality Conference (2011)
ISO 5964: Documentation – Guidelines for the establishment and development of multilingual thesauri. International Organization for Standardization (ISO) TC46/SC9 (2008)
Jeffery, K.: An Architecture for Grey Literature in a R&D Context. International Journal on Grey Literature 1(2), 64–72 (1999)
Jeffery, K., Lopatenko, A., Asserson, A.: Comparative Study of Metadata for Scientific Information: The Place of CERIF in CRISs and Scientific Repositories. In: Proceedings of CRIS 2002, Kassel, Germany (2002)
Jeffery, K.: The CERIF Model as the Core of a Research Organisation. Data Science Journal 9 (2010)
Jörg, B., Jeffery, K., Asserson, A., Van Grootel, G., Grabczewski, E.: CERIF 2006-1.1 Model Introduction and Specification. euroCRIS (October 2007)
Jörg, B.: CERIF: Formal Contextual Relations to guide through the maze of Research Information. In: Int. Conf. RIS in the EU, Bratislava, Slovakia (2009)
Jörg, B., Jeffery, K., van Grootel, G., Asserson, A., Dvorak, J., Rasmussen, H.: CERIF 2008–1.2 Model Introduction and Specification. euroCRIS (November 2010)
Joint, N.: Current Research Information Systems, Open Access Repositories and Libraries: ANTAEUS. Library Review 57(8), 570–575 (2008)
Manola, F., Miller, E.: RDF Primer, W3C Recommendation (February 2004)
Martin, M.D.: Reference Manual for Machine-Readable Bibliographic Descriptions, Unesco 1974, 71 p., compiler, Paris (1974)
McNie, E.C.: Reconciling the supply of scientific information with user demands: an analysis of the problem and a review of the literature. Environmental Science & Policy 10(1), 17–38 (2007)
Miles, A., Bechhofer, S.: SKOS Simple Knowledge Organization System. W3C Recommendation (August 18, 2009)
OMG available Specification: Semantics of Business Vocabulary and Business Rules (SBVR), v1.0, Open Management Group (January 2008)
Oei, J.L.H., ven Hemmen, L.J.G.T., Falkenberg, E.D., Brinkkemper, S.: The Meta Model Hierarchy: A Framework for Information Systems Concepts and Techniques. Technical Report No. 92-17, Department of Information Systems, University of Nijmegen, The Netherlands (1992)
Poole, J.D.: Model-Driven Architecture: Vision, Standards and Emerging Technologies. In: Lee, S.H. (ed.) ECOOP 2001. LNCS, vol. 2072. Springer, Heidelberg (2001)
Sicilia, M.A.: 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)
Stracke, C.M.: The Benefits and Future of Standards: Metadata and Beyond. In: Sánchez-Alonso, S., Athanasiadis, I.N. (eds.) MTSR 2010. CCIS, vol. 108, pp. 354–361. Springer, Heidelberg (2010)
Van Grootel, G., Spyns, P., Christiaens, S., Jörg, B.: Business Semantics Management Supports Government Innovation Information Portal. In: Meersman, R., Herrero, P., Dillon, T., et al. (eds.) OTM 2009 Workshops. LNCS, vol. 5872, pp. 757–766. Springer, Heidelberg (2009)
Wand, Y., Weber, R.: An Ontological Model of an Information System. Transactions on Software Engineering 16(11), 1282–1292 (1990)
Wand, Y., Weber, R.: Research Commentary: Information Systems and Conceptual Modeling – A Research Agenda. Information Systems Research 13(4), 363–376 (2002)
Wand, Y., Weber, R.: On Ontological Foundations of Conceptual Modelling: A Response to Wyssusek 2006. Skandinavian Journal of Information Systems 18(1), 127–138 (2006)
Wyssusek, B.: On Ontological Foundations of Conceptual Modelling. Skandinavian Journal of Information Systems 18(1), 63–80 (2006)
Wintraecken, J.V.R.: NIAM Information Analysis Method: Theory and Practice. Kluwer Academic Publishers, Norwell (1990)
Zimmermann, E.: CRIS-Cross: Current Research Information Systems at a Crossroads. In: Simons, E., Asserson, A. (eds.) CRIS 2002. Leuven University Press, Leuven (2002)
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Jörg, B., Jeffery, K., van Grootel, G. (2011). Towards a Sharable Research Vocabulary (SRV) – A Model-Driven Approach –. In: García-Barriocanal, E., Cebeci, Z., Okur, M.C., Öztürk, A. (eds) Metadata and Semantic Research. MTSR 2011. Communications in Computer and Information Science, vol 240. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24731-6_27
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DOI: https://doi.org/10.1007/978-3-642-24731-6_27
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