Renewable Energy Decision Support Systems: The Challenge of Data Integration
The practical benefits of a Decision Support System rely heavily on the system’s ability to efficiently aggregate and manage large volumes of data, information, and knowledge from heterogeneous sources. The authors approach this challenge and explore the concept of flexible software architectures th...
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Published in | Studies in Informatics and Control Vol. 24; no. 2; p. 191 |
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Main Authors | , , , |
Format | Journal Article |
Language | English French |
Published |
Bucharest
National Institute for Research and Development in Informatics
2015
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Online Access | Get full text |
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Summary: | The practical benefits of a Decision Support System rely heavily on the system’s ability to efficiently aggregate and manage large volumes of data, information, and knowledge from heterogeneous sources. The authors approach this challenge and explore the concept of flexible software architectures that support highly customizable decision environments at end-user level. The paper proposes a mechanism applied in the Renewable Energy filed that enables end-users to visually describe data and knowledge source structures using a set of data types and semantic annotations, and to integrate them into the DSS logic without intervention from system developers. |
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ISSN: | 1220-1766 1841-429X |
DOI: | 10.24846/v24i2y201507 |