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Authors: Nedim Dedić and Clare Stanier

Affiliation: Staffordshire University, United Kingdom

Keyword(s): Business Intelligence, Data Warehousing, Multilingualism, Star Schema, Semantic Web.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence and Decision Support Systems ; Data Warehouses and OLAP ; Databases and Information Systems Integration ; Enterprise Information Systems ; Strategic Decision Support Systems

Abstract: In this paper we discuss Business Intelligence and define what is meant by support for Multilingualism in a Business Intelligence reporting context. We identify support for Multilingualism as a challenging issue which has implications for data warehouse design and reporting performance. Data warehouses are a core component of most Business Intelligence systems and the star schema is the approach most widely used to develop data warehouses and dimensional Data Marts. We discuss the way in which Multilingualism can be supported in the Star Schema and identify that current approaches have serious limitations which include data redundancy and data manipulation, performance and maintenance issues. We propose a new approach to enable the optimal application of multilingualism in Business Intelligence. The proposed approach was found to produce satisfactory results when used in a proof-of-concept environment. Future work will include testing the approach in an enterprise environment.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Dedić, N. and Stanier, C. (2016). An Evaluation of the Challenges of Multilingualism in Data Warehouse Development. In Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-187-8; ISSN 2184-4992, SciTePress, pages 196-206. DOI: 10.5220/0005858401960206

@conference{iceis16,
author={Nedim Dedić. and Clare Stanier.},
title={An Evaluation of the Challenges of Multilingualism in Data Warehouse Development},
booktitle={Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2016},
pages={196-206},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005858401960206},
isbn={978-989-758-187-8},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - An Evaluation of the Challenges of Multilingualism in Data Warehouse Development
SN - 978-989-758-187-8
IS - 2184-4992
AU - Dedić, N.
AU - Stanier, C.
PY - 2016
SP - 196
EP - 206
DO - 10.5220/0005858401960206
PB - SciTePress