Abstract. In this paper we propose the Graphical sEmistructured teMporal data model (GEM), which is based on labeled graphs and allows one to represent in a uniform way semistructu...
Data Warehouses (DWs) use an omnipresent time dimension for keeping track of changes in measure values. However, this dimension cannot be used to model changes in other dimensions...
Abstract. XML provides a natural mechanism for representing semistructured and unstructured data. It becomes the basis for encoding a large variety of information, for example, the...
Abstract. We present in this paper a new model for representing probabilistic information in a semi-structured (XML) database, based on the use of probabilistic event variables. Th...
In a data warehousing process, the data preparation phase is crucial. Mastering this phase allows substantial gains in terms of time and performance when performing a multidimensio...