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Authors: Franck Ravat 1 ; Olivier Teste 2 and Ronan Tournier 2

Affiliations: 1 IRIT, Université Toulouse 1, France ; 2 IRIT, Université Toulouse 3, France

ISBN: 978-972-8865-88-7

Keyword(s): OLAP, Data Warehouse, Aggregation Function, Document Warehouse, Non-Additive Measure.

Related Ontology Subjects/Areas/Topics: Data Warehouses and OLAP ; Databases and Information Systems Integration ; Enterprise Information Systems

Abstract: For more than a decade, OLAP and multidimensional analysis have generated methodologies, tools and resource management systems for the analysis of numeric data. With the growing availability of semi-structured data there is a need for incorporating text-rich document data in a data warehouse and providing adapted multidimensional analysis. This paper presents a new aggregation function for keywords allowing the aggregation of textual data in OLAP environments as traditional arithmetic functions would do on numeric data. The AVG_KW function uses an ontology to join keywords into a more common keyword.

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Paper citation in several formats:
Ravat F.; Teste O.; Tournier R. and (2007). OLAP AGGREGATION FUNCTION FOR TEXTUAL DATA WAREHOUSE.In Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 3: ICEIS, ISBN 978-972-8865-88-7, pages 151-156. DOI: 10.5220/0002364401510156

@conference{iceis07,
author={Franck Ravat and Olivier Teste and Ronan Tournier},
title={OLAP AGGREGATION FUNCTION FOR TEXTUAL DATA WAREHOUSE},
booktitle={Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 3: ICEIS,},
year={2007},
pages={151-156},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002364401510156},
isbn={978-972-8865-88-7},
}

TY - CONF

JO - Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 3: ICEIS,
TI - OLAP AGGREGATION FUNCTION FOR TEXTUAL DATA WAREHOUSE
SN - 978-972-8865-88-7
AU - Ravat, F.
AU - Teste, O.
AU - Tournier, R.
PY - 2007
SP - 151
EP - 156
DO - 10.5220/0002364401510156

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