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2018 | OriginalPaper | Chapter

Creating Multidimensional Views from RDF Sources

Authors : Yassine Laadidi, Mohamed Bahaj

Published in: Advanced Information Technology, Services and Systems

Publisher: Springer International Publishing

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Abstract

Business Intelligence (BI) systems have been adopted for decades to collect and analyze (periodically) a mass of relevant information from internal data sources. With the emergence of the Semantic Web (SW) technologies and vocabularies, no one could deny the necessity of including these external web sources in the decision-making process. However, the actual architecture of BI remains operational only in a well-controlled context where the sources are static and where the multidimensional scheme is defined in advance. Therefore, there is a strong need for new methods in order to extract information from dynamic data sources and enabling On-Line Analytical Processing (OLAP). In this paper, we propose a transposition method of multidimensional concepts over multiple ontologies sources in order to create the correspondent schema.

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previous chapter A Retirement Pension from a Supply Chain Side: Case of the Moroccan Retirement Pension
next chapter An Ontology Based Approach to Organize Supplier and Transportation Provider Selection Negotiation in Multi-agent System Model
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Metadata
Title
Creating Multidimensional Views from RDF Sources
Authors
Yassine Laadidi
Mohamed Bahaj
Copyright Year
2018
Book
Advanced Information Technology, Services and Systems

Print ISBN: 978-3-319-69136-7

Electronic ISBN: 978-3-319-69137-4

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-69137-4_12

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