Building an XML document warehouse

Building an XML document warehouse

Building XML Data Warehouse

With the proliferation of XML-based data sources available across the Internet, it is increasingly important to provide users with a data warehouse of XML data sources to facilitate decision-making processes. Due to the extremely large amount of XML data available on web, unguided warehousing of XML data turns out to be highly costly and usually cannot well accommodate the users’ needs in XML d...

Unification of XML Document Structures for Document Warehouse (DocW)

Data warehouses and OLAP (On Line Analytical Processing) technologies analyse huge amounts of structured data that companies store as conventional databases. Recent works underline the importance of textual data for the decision making process and, therefore, lead to build document warehouses. In fact, documents help decision makers to better understand the evolution of their business activitie...

Apply Uncertainty in Document-Oriented Database (MongoDB) Using F-XML

As moving to big data world where data is increasing in unstructured way with high velocity, there is a need of data-store to store this bundle amount of data. Traditionally, relational databases are used which are now not compatible to handle this large amount of data, so it is needed to move on to non-relational data-stores. In the current study, we have proposed an extension of the Mongo...

X-Warehouse: Building Query Pattern-driven Data Warehouse For XML Data

In this paper, we propose an approach to materialize XML data warehouses based on the frequent query patterns discovered from historical queries issued by users. The schemas of integrated XML documents in the warehouse are built using these frequent query patterns represented as Frequent Query Pattern Trees (FreqQPTs). Using hierarchical clustering technique, FreqQPTs are clustered and merged t...