Query optimization for OLAP-XML federations
Proceedings of the 5th ACM international workshop on Data Warehousing and OLAP
IEEE Intelligent Systems
Exploratory Analysis of Spatial and Temporal Data: A Systematic Approach
Exploratory Analysis of Spatial and Temporal Data: A Systematic Approach
Conceptual Modeling for Traditional and Spatio-Temporal Applications: The MADS Approach
Conceptual Modeling for Traditional and Spatio-Temporal Applications: The MADS Approach
Hierarchies in a multidimensional model: from conceptual modeling to logical representation
Data & Knowledge Engineering - Special issue: WIDM 2004
The Data Warehouse Lifecycle Toolkit
The Data Warehouse Lifecycle Toolkit
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This paper outlines a framework to support the demand-driven analysis of spatio-temporal data It will support decision making involving complex, multidimensional data and addresses the following challenges: (1) the demand-driven acquisition of context data, (2) the combination of context and user data, (3) the consideration of different aspects and levels of detail on the analysis and (4) the storage and integration of analysis results for further use The framework will provide web-services based on open standards to populate and explore multidimensional spatio-temporal structures interactively Online Analitical Pro-cesing (OLAP) concepts will serve as model for storing and querying the data Roaming-services will be used to update contents coming from different Spatial Data Infrastructures Semantical descriptions will allow switching analysis operations at different levels of detail Research questions and challenges related to the underlying model and implementation aspects will be discussed.