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software [2014/08/21 12:18] [Copain] |
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| //**ICSOLAP: UML Profile for desigining conceptual models for complex Spatial OLAP applications** \\ | //**ICSOLAP: UML Profile for desigining conceptual models for complex Spatial OLAP applications** \\ | ||
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| - | Spatial Data Warehouse and SOLAP systems allow analyzing huge volume of georeferenced data. SOLAP applications are usually complex needing advanced static and dynamic modelling properties. In particular, SOLAP applications require: multi-granular measures and complex aggregations based on aggregate functions depending on dimensions, hierarchies and levels. In this demo paper, motivated by the lack of conceptual spatio-multidimensional models based on standard languages and supporting such complex modelling requirements, we present a new UML profile for complex spatial data cubes. We implement our profile in the commercial CASE tool called MagicDraw. Using a real environmental case study, we show the theoretical and technical effectiveness of our proposal. | + | Spatial Data Warehouse and SOLAP systems allow analyzing huge volume of georeferenced data. SOLAP applications are usually complex needing advanced static and dynamic modelling properties. In particular, SOLAP applications require: multi-granular measures and complex aggregations based on aggregate functions depending on dimensions, hierarchies and levels. In this demo paper, motivated by the lack of conceptual spatio-multidimensional models based on standard languages and supporting such complex modelling requirements, we present a new UML profile for complex spatial data cubes. We implement our profile in the commercial CASE tool called MagicDraw. Using a real environmental case study, we show the theoretical and technical effectiveness of our proposal. </font> \\ |
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| - | **//image example// ** </font> | + | **//image example// ** |
| - | [[https://sites.google.com/site/sandrobimonte/tools/model.jpg?attredirects=0|{{https://sites.google.com/site/sandrobimonte/_/rsrc/1406455590568/tools/model.jpg?nolink&100}}]] | + | [[https://sites.google.com/site/sandrobimonte/tools/model.jpg?attredirects=0|{{:https://sites.google.com/site/sandrobimonte/_/rsrc/1406455590568/tools/model.jpg?nolink&100}}]] |
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| - | //**video is [[http://www.isima.fr/~kang/eda2014/protolap.mpeg|here]]** </font> \\ | + | //**video is [[http://www.isima.fr/~kang/eda2014/protolap.mpeg|here]]** // //\\ |
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| Spatial OLAP systems are Business Intelligence technologies allowing efficient and interactive analysis of large spatial data cubes. In this type of systems the correctness of analysis depends on: the warehoused data quality, how aggregations are performed and how data cubes are explored. In this paper we study quality control techniques (based on integrity constraints) related to exploration of spatial data cubes. We extend our UML framework previously proposed with a UML profile allowing the conceptual design of several classes of exploration integrity constraints. We also propose a tool for their automatic implementation. </font> // //**\\ | Spatial OLAP systems are Business Intelligence technologies allowing efficient and interactive analysis of large spatial data cubes. In this type of systems the correctness of analysis depends on: the warehoused data quality, how aggregations are performed and how data cubes are explored. In this paper we study quality control techniques (based on integrity constraints) related to exploration of spatial data cubes. We extend our UML framework previously proposed with a UML profile allowing the conceptual design of several classes of exploration integrity constraints. We also propose a tool for their automatic implementation. </font> // //**\\ | ||
| - | vid****eo the video is [[http://eric.univ-lyon2.fr/~sbimonte/SDWTool.mp4|here]]** </font> // | + | vid****eo is [[http://eric.univ-lyon2.fr/~sbimonte/SDWTool.mp4|here]]** ////// |
| ===== Lisc ===== | ===== Lisc ===== | ||
