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Towards a Scientific Model Management System

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Advances in Conceptual Modeling – Challenges and Opportunities (ER 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5232))

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Abstract

Computational models of biological systems aim at accurately simulating in vivo phenomena. They have become a very powerful tool enabling scientists to study complex behavior. A side effect of their success unfortunately exists and is observed as an increasing difficulty in managing data, metadata and a myriad of programs and tools used and produced during a research task. In this work we aim at supporting scientists during a research endeavour by using Scientific Models as a main guiding element for describing, searching and running computational models, as well as managing the corresponding results. We assume a data-oriented perspective for scientific model representation materialized into a data model with which users describe scientific models and corresponding computational models, and a query language with which a scientist specifies simulation queries. The model is grounded in XML and tightly related to domain ontologies, which provide formal domain descriptions and uniform terminology. Scientists may search for scientific models and run simulations that automatically invoke the underlying programs on provided inputs. The results of a simulation may generate complex data that can be queried in the context of the scientific model. Higher-level models can be specified through views that export a unified representation of underlying scientific models.

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Author information

Authors and Affiliations

  1. EPFL-IC – Database Laboratory, Lausanne, Switzerland

    Fabio Porto, José Antônio de Macedo, Javier Sanchez Tamargo, Yuanjian Wang Zufferey & Stefano Spaccapietra

  2. UFC - Department of Computing, Ceará, Fortaleza, Brazil

    Vânia P. Vidal

Authors
  1. Fabio Porto
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  2. José Antônio de Macedo
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  3. Javier Sanchez Tamargo
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  4. Yuanjian Wang Zufferey
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  5. Vânia P. Vidal
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  6. Stefano Spaccapietra
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Editor information

Editors and Affiliations

  1. College of Information Science and Technology, Drexel University, USA

    Il-Yeol Song

  2. Dep. of Information Technologies & Systems - Escuela Superior de Informática, University of Castilla-La Mancha, Alarcos Research Group- Institute of Information Technologies & Systems, Ciudad Real, Spain

    Mario Piattini

  3. School of Engineering and Information Technology, Deakin University, 221 Burwood Highway, Vic, 3125, Australia

    Yi-Ping Phoebe Chen

  4. Clausthal University of Technology, Julius-Albert-Str. 4, 38678, Clausthal-Zellerfeld, Germany

    Sven Hartmann

  5. Dipartimento di Elettronica, Informatica e Sistemistica, Alma Mater Studiorum – Università di Bologna, P.O. Box, Italy

    Fabio Grandi

  6. Department of Software and Computing Systems, University of Alicante, Spain

    Juan Trujillo

  7. Department of Information Science and Media Studies, University of Bergen, Fosswinckelsgate 6, 5007, Bergen, Norway

    Andreas L. Opdahl

  8. Istituto di Ricerche sulla Popolazione e Politiche Sociali, CNR, Via Nizza 128, 00198, Roma, Italy

    Fernando Ferri  & Patrizia Grifoni  & 

  9. IRPPS-CNR, Rome, Italy

    Maria Chiara Caschera

  10. Universit Paris1 Panthon Sorbonne, CRI, 90 Rue de Tolbiac, 75013, Paris

    Colette Rolland

  11. Portland State University, USA; Indiana University, USA University of British Columbia, Canada; Hill-Rom Company, USA University of British Columbia, Canada; Deloitte Consulting, P.O. Box, USA

    Carson Woo

  12. Centre de Recherche en Informatique, Université Paris 1 Panthéon-Sorbonne, 90 rue de Tolbiac, 75013, Paris

    Camille Salinesi

  13. Université Libre de Bruxelles, Belgium

    Esteban Zimányi

  14. Naval Academy Research Institute, Brest Naval, France

    Christophe Claramunt

  15. Technische Universiteit Eindhoven, PO Box 513, NL-5600 MB, Eindhoven, The Netherlands

    Flavius Frasincar

  16. Technische Universiteit Eindhoven, P.O. Box 513, NL 5600 MB, Eindhoven, The Netherlands

    Geert-Jan Houben

  17. IMRU-FUNDP, University of Namur, Namur, Belgium

    Philippe Thiran

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© 2008 Springer-Verlag Berlin Heidelberg

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Porto, F., de Macedo, J.A., Sanchez Tamargo, J., Wang Zufferey, Y., Vidal, V.P., Spaccapietra, S. (2008). Towards a Scientific Model Management System. In: Song, IY., et al. Advances in Conceptual Modeling – Challenges and Opportunities. ER 2008. Lecture Notes in Computer Science, vol 5232. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87991-6_7

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  • DOI: https://doi.org/10.1007/978-3-540-87991-6_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-87990-9

  • Online ISBN: 978-3-540-87991-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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