Collective intelligent toolbox based on linked model framework

Nguyen, B. ORCID: https://orcid.org/0000-0002-2260-8186 & Wagner, F. ORCID: https://orcid.org/0000-0003-3429-2374 (2014). Collective intelligent toolbox based on linked model framework. Journal of Intelligent & Fuzzy Systems 27 (2) 601-609. 10.3233/IFS-131084.

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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.

Item Type:	Article
Uncontrolled 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
Research Programs:	Air Quality & Greenhouse Gases (AIR) Mitigation of Air Pollution (MAG)
Bibliographic Reference:	Journal of Intelligent and Fuzzy Systems; 27(2):601-609 (26 August 2014) (Published online 12 December 2013)
Depositing User:	IIASA Import
Date Deposited:	15 Jan 2016 08:50
Last Modified:	27 Aug 2021 17:24
URI:	https://pure.iiasa.ac.at/10865

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