Sharing scientific models in environmental applications

Environmental applications have been stimulating the cooperation among scientists from different disciplines. There are many examples where this cooperation takes place through exchanging scientific resources, such as data, programs and mathematical models. Finding the right model to apply in an environmental problem is a difficult task. Usually, this decision is based on previous experience. To facilitate the exchange and dissemination of information we propose a scientific resources architecture, where scientists may share their data, programs and models. We also present a scientific publishing metamodel for scientific resources description. The main goal of the proposed architecture is to provide scientific metadata support to effective model sharing, representing an innovative contribution to environmental applications. Scientific experiments and workflows are also considered as scientific resources that need to be shared. We believe that the proposed scientific publishing metamodel could be naturally extended to include these other scientific resources.

[1]  Amit Basu,et al.  Model type selection in an integrated DSS environment , 1993, Decis. Support Syst..

[2]  Gio Wiederhold,et al.  Mediators in the architecture of future information systems , 1992, Computer.

[3]  Patrick Valduriez,et al.  Scaling Access to Heterogeneous Data Sources with DISCO , 1998, IEEE Trans. Knowl. Data Eng..

[4]  Patrick Valduriez,et al.  The Ecobase project: database and web technologies for environmental information systems , 2001, SGMD.

[5]  Anastasia Ailamaki,et al.  Scientific workflow management by database management , 1998, Proceedings. Tenth International Conference on Scientific and Statistical Database Management (Cat. No.98TB100243).

[6]  Laura M. Haas,et al.  Towards heterogeneous multimedia information systems: the Garlic approach , 1995, Proceedings RIDE-DOM'95. Fifth International Workshop on Research Issues in Data Engineering-Distributed Object Management.

[7]  Hannes Werthner,et al.  An integrated simulation and optimization modelling environment for decision support , 1996, Decis. Support Syst..

[8]  Jennifer Widom,et al.  The TSIMMIS Approach to Mediation: Data Models and Languages , 1997, Journal of Intelligent Information Systems.

[9]  E. Scott,et al.  Uncertainty and sensitivity studies of models of environmental systems , 1996, Proceedings Winter Simulation Conference.