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来源类型 | Article |
规范类型 | 其他 |
DOI | 10.3233/IFS-131084 |
Collective intelligent toolbox based on linked model framework. | |
Nguyen B; Wagner F | |
发表日期 | 2014 |
出处 | Journal of Intelligent & Fuzzy Systems 27 (2): 601-609 |
出版年 | 2014 |
语种 | 英语 |
摘要 | 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. |
主题 | Mitigation of Air Pollution (MAG) ; Air Quality & ; Greenhouse Gases (AIR) |
关键词 | 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 |
URL | http://pure.iiasa.ac.at/id/eprint/10865/ |
来源智库 | International Institute for Applied Systems Analysis (Austria) |
引用统计 | |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/130002 |
推荐引用方式 GB/T 7714 | Nguyen B,Wagner F. Collective intelligent toolbox based on linked model framework.. 2014. |
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