Collective intelligent toolbox based on linked model framework

Article type: Research Article

Authors: Nguyen, Thanh Binh | Wagner, Fabian

Affiliations: International Institute for Applied Systems Analysis (IIASA), Schlossplatz, Laxenburg, Austria

Note: [] Corresponding author. Thanh Binh Nguyen, International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, A-2361 Laxenburg, Austria. Tel.: +43 2236 807 0; Fax: +43 2236 71 313; E-mail: [email protected]

Abstract: A collective intelligent toolbox has been studied and developed to co-operate multi complex related information systems based on a linked model framework. First the linked model framework is defined in a very formal manner. The mathematic abstract specification provides the basis for handling data exchange among various linked models as well as data from those models integrated into a data warehouse. In this context, an ETL (extracting-transforming-loading) process has been defined. Hereafter, the collective intelligent toolbox is developed based on the multidimensional database stored in the data warehouse. To approve of our concepts, a sectoral linked model framework with its collective intelligent toolbox will be presented as a practical case study. Several typical examples of the extracted-transformed-linked and published key data are represented.

Keywords: Linked models, data warehouse, EC4MACS (European Consortium for Modelling Air pollution and Climate Strategies), Greenhouse gas - Air Pollution Interactions and Synergies (GAINS), collective intelligent toolbox

DOI: 10.3233/IFS-131084

Journal: Journal of Intelligent & Fuzzy Systems, vol. 27, no. 2, pp. 601-609, 2014