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In this paper, the authors introduce a novel mechanism for data management in a middleware for smart home control, where a relational database and semantic ontology storage are used at the same time in a Data Warehouse. An annotation system has been designed for instructing the storage format and location, registering new ontology concepts and most importantly, guaranteeing the Data Consistency between...
In a traditional data warehouse, "subject oriented" means that all the measurements relating to the same real-world event or object are linked together. The measurements are classified and navigated by "subject". But in a multi-use data warehouse, users want to classify and navigate the measurements by mutable cross-classifications flexibly. It is hard to find a universal "subject"...
In many business and scientific data warehouses, not only the data amount is growing in geometric series, but also the requirement of real-time capability is increasing. Database partitioning technique which adopts "divide and conquer" method can efficiently simplify the complexity of managing massive data and improve the performance of the system, especially the range partitioning. The...
In a real-time data warehouses, ETL is no longer executed periodically during the idle time of data warehouses, but continuously ongoing. Thus the triggering of ETL task, and In a real-time data warehouses, ETL is no longer executed periodically during the idle time of data warehouses, but continuously ongoing. Thus the triggering of ETL task, and the scheduling of updates and queries become the key...
There are many new challenges in building Scientific Data Management System (SDMS), and the most initial and important one of them is designing a reasonably and effectively data architecture. The data architecture should focus on massive metadata, complex data flow, multi-classification data, various data productions and uniform query. Based on the applied projects, we present the classificatory criterions,...
Database partitioning technique which adopts "divide and conquer" method can efficiently simplify the complexity of managing massive data and improve the performance of the system, especially the range partitioning. The traditional range partitioning approach brings heavy burden to the system without an increased partitioning algorithm, so it does not adapt to the partitioning in the realtime...
In the traditional data warehouse modeling, a numerical attribute with continuous data are not suitable for modeling as a dimension, unless it is partitioned into a concept hierarchy according to some predefined mapping-rules. In some cases, such rules are flexible or unavailable, so the partitioned dimension is proposed in this paper as the solution of modeling the numerical dimension in these cases...
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