XML data sources are gaining popularity in the context of Business Intelligence and On-Line
Analytical Processing (OLAP) applications, due to the amenities of XML in representing and …

XML documents are widely used to interchange information among heterogeneous systems,
ranging from office applications to scientific experiments. Independently of the domain, XML …

With the multiplication of XML data sources, many XML data warehouse models have been
proposed to handle data heterogeneity and complexity in a way relational data warehouses …

We propose an efficient distributed query processing method for large XML data by
partitioning and distributing XML data to multiple computation nodes. There are several …

XML data warehouses form an interesting basis for decision-support applications that exploit
heterogeneous data from multiple sources. However, XML-native database systems …

Experience with relational systems has shown that distribution is an effective way of
improving the scalability of query evaluation. In this paper, we show how distributed query …

The increasing volume of data stored as XML documents makes fragmentation techniques
an alternative to the performance issues in query processing. Fragmented databases are …

Efficient document processing is a must when large volumes of XML data are involved. In
such critical scenarios, a well-known solution to this problem is to distribute (map) the data …

Distributing data collections by fragmenting them is an effective way of improving the
scalability of a database system. While the distribution of relational data is well understood …

Distribution design for databases usually addresses the problems of fragmentation,
allocation and replication. However, the main purposes of distribution are to improve …