Analyse multidimensionnelle de documents via des dimensions OLAP

Abstract

With the emergence of semi-structured data format (such as XML), the storage of documents in centralized facilities has slowly appeared as a natural adaptation of data warehousing technology. Nowadays, OLAP (On-Line Analytical Processing) systems face growing non-numeric data. This paper presents a framework for the multidimensional analysis of textual data in an OLAP sense. Document structure, document meta-data and document contents are converted into subjects of analysis (facts) and analysis axes (dimensions) within an adapted star schema. This allows greater multidimensional analysis possibilities. This framework allows a user to gain insight within a collection of documents. © Lavoisier.