CONTEXTUALIZING A DATA WAREHOUSE WITH DOCUMENTSAuthor:
PEREZ MARTINEZ JUAN MANUEL.
Year:
2006.
University:
JAUME I DE CASTELLON [
www.uji.es].
Place of defense: E.S. DE TECNO. Y CIENCIAS EXPERI..
Place of preparation: ESCUELA SUPERIOR DE TECNOLOGIA Y CIENCIAS EXPERIMENTALES.
Summary: Current technology of data warehouses and OLAP technology enables organizations to analyze structured data they collect in their databases. The circumstances surrounding these data are described in documents typically rich text. Actually, you can find many of these documents in XML format. The aim of the thesis is to provide a formal framework for integrating a data warehouse with a traditional store XML documents and analyze the data along with their context. We call the resulting system warehouse contextualized. In this new kind of store, the user specify the context of analysis by providing a sequence of keywords. The analysis was conducted on a new type of multidimensional cube, called R-cubo. Each act of a R-cubo will associate the set of documents describing its context. Assign each made a numeric value that represents its relevance with regard to the context of analysis. This thesis proposes a new model for recovery to measure the relevant circumstances. Also defined formally R-cubos, providing your data model and algebra.