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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...
The emergency department (ED) serves as a primary patient entry point into hospitals, and bottlenecks in the ED cause patient flow problems and increase costs throughout the entire hospital. EDs increasingly employ discrete event simulation as an analytical decision making tool to alleviate these problems. Simulation models quantify complicated emergency care delivery systems and help improve emergency...
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 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...
This paper studies on the multi-attribute weighing decision model of grey target based on theories of decision-making analysis. Concerning of Savage decision criteria under the circumstance of uncertain decision, grey interval number series have been put forward to extend definition of real number series as well as a ranking method has been given according to the distance from Grey target. In this...
This paper is the case study on scientific data cleaning, it proposes some new ideas or applies some hot technologies for scientific data cleaning. There are three challenges of scientific data cleaning tool: domain knowledge representation and usage, customized cleaning flow and building dynamically. We adopt knowledge based rule modeling, workflow based flow modeling and pluggable components based...
Data exchange provides a powerful support for data integration, and realizes the sharing of enterprises information. In this paper, data binding is introduced to the model of data exchange, and this makes the progress of data exchange more easily. XML is the data media in the model and operated simply. On the other hand, some technologies just as Castor, XML, XSL are involved, and they play important...
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