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An evaluation of the challenges of Multilingualism in Data Warehouse development

Dedić, Nedim and STANIER, Clare (2016) An evaluation of the challenges of Multilingualism in Data Warehouse development. In: ICEIS 2016, 25-28 April 2016, Rome, Italy.

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Abstract or description

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

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Business Intelligence, Data Warehousing, Multilingualism, Star Schema, Semantic Web
Faculty: Previous Faculty of Computing, Engineering and Sciences > Computing
Event Title: ICEIS 2016
Event Location: Rome, Italy
Event Dates: 25-28 April 2016
Depositing User: Clare STANIER
Date Deposited: 31 Oct 2016 11:56
Last Modified: 24 Feb 2023 13:45
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