Top_Keyword: An Aggregation Function for Textual Document OLAP

For more than a decade, researches on OLAP and multidimensional databases have generated methodologies, tools and resource management systems for the analysis of numeric data. With the growing availability of digital documents, there is a need for incorporating text-rich documents within multidimensional databases as well as an adapted framework for their analysis. This paper presents a new aggregation function that aggregates textual data in an OLAP environment. The TOP_KEYWORD function (TOP_KW for short) represents a set of documents by their most significant terms using a weighing function from information retrieval: tf.idf. Keywords. OLAP, Aggregation function, Data warehouse, Textual measure.

• Type: Conference
• Year: 2008
• Where: DAWAK
• Authors: Franck Ravat, Olivier Teste, Ronan Tournier, Gilles Zurfluh
• Keywords: Aggregation Function, DAWAK 2008, Information Technology, Multidimensional Databases, OLAP