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来源类型Conference or Workshop Item (Paper)
规范类型其他
Semantic data integration from Multi Linked Model Framework.
Nguyen TB; Kiesewetter G; Schöpp W
发表日期2016
出处8th International Congress on Environmental Modelling and Software, “Supporting Sustainable Futures
出版年2016
语种英语
摘要Model integration is becoming increasingly important due to the requirements for multi-scale and multi-objective assessment and decision making. Moreover, instead of incorporating all complex related information system models that are relevant for different related aspects into one super-model, a multi linked model framework has been proposed to extract data and output from multiple linked models into the coherent data warehouse, which respects the interdependency of data from different model as well as additional knowledge already contained in its existing data cubes.
主题Air Quality & ; Greenhouse Gases (AIR)
关键词Linked Models IIASA ETL Data warehouse Data Integration
URLhttp://pure.iiasa.ac.at/id/eprint/14380/
来源智库International Institute for Applied Systems Analysis (Austria)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/132676
推荐引用方式
GB/T 7714
Nguyen TB,Kiesewetter G,Schöpp W. Semantic data integration from Multi Linked Model Framework.. 2016.
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