Using lexical ontology for semi-automatic logical data warehouse design

Data Warehouse has become a very important tool for data analysis but the conversion from Operational Database to Data Warehouse is very complex. This paper presents a new method to design a data warehouse multidimensional model based on supply driven framework. We propose a semi-automatic tool...

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Main Authors: Mior Nazri, Mior Nasir, Noah, Shahrul Azman, Hamid, Zarinah
Format: Proceeding Paper
Language:English
Published: Springer-Verlag 2010
Subjects:
Online Access:http://irep.iium.edu.my/13621/
http://irep.iium.edu.my/13621/1/WA_13606_MIOR_NASIR__Using_Lexical_Ontology.pdf
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author Mior Nazri, Mior Nasir
Noah, Shahrul Azman
Hamid, Zarinah
author_facet Mior Nazri, Mior Nasir
Noah, Shahrul Azman
Hamid, Zarinah
author_sort Mior Nazri, Mior Nasir
building IIUM Repository
collection Online Access
description Data Warehouse has become a very important tool for data analysis but the conversion from Operational Database to Data Warehouse is very complex. This paper presents a new method to design a data warehouse multidimensional model based on supply driven framework. We propose a semi-automatic tool using lexical ontology as the knowledge domain. The tool is able to identify fact and dimensional tables using the knowledge domain. Once fact table is identified, the following step is to generate Data Warehouse multidimensional model with minimal user interaction. The feasibility of the proposed method is demonstrated by a prototype using WordNet as knowledge domain.
first_indexed 2025-11-14T14:48:19Z
format Proceeding Paper
id iium-13621
institution International Islamic University Malaysia
institution_category Local University
language English
last_indexed 2025-11-14T14:48:19Z
publishDate 2010
publisher Springer-Verlag
recordtype eprints
repository_type Digital Repository
spelling iium-136212012-02-01T06:58:25Z http://irep.iium.edu.my/13621/ Using lexical ontology for semi-automatic logical data warehouse design Mior Nazri, Mior Nasir Noah, Shahrul Azman Hamid, Zarinah T10.5 Communication of technical information Data Warehouse has become a very important tool for data analysis but the conversion from Operational Database to Data Warehouse is very complex. This paper presents a new method to design a data warehouse multidimensional model based on supply driven framework. We propose a semi-automatic tool using lexical ontology as the knowledge domain. The tool is able to identify fact and dimensional tables using the knowledge domain. Once fact table is identified, the following step is to generate Data Warehouse multidimensional model with minimal user interaction. The feasibility of the proposed method is demonstrated by a prototype using WordNet as knowledge domain. Springer-Verlag 2010 Proceeding Paper NonPeerReviewed application/pdf en http://irep.iium.edu.my/13621/1/WA_13606_MIOR_NASIR__Using_Lexical_Ontology.pdf Mior Nazri, Mior Nasir and Noah, Shahrul Azman and Hamid, Zarinah (2010) Using lexical ontology for semi-automatic logical data warehouse design. In: UNSPECIFIED. http://www.springerlink.com/content/m0u0q4g847313836/ DOI: 10.1007/978-3-642-16248-0_39
spellingShingle T10.5 Communication of technical information
Mior Nazri, Mior Nasir
Noah, Shahrul Azman
Hamid, Zarinah
Using lexical ontology for semi-automatic logical data warehouse design
title Using lexical ontology for semi-automatic logical data warehouse design
title_full Using lexical ontology for semi-automatic logical data warehouse design
title_fullStr Using lexical ontology for semi-automatic logical data warehouse design
title_full_unstemmed Using lexical ontology for semi-automatic logical data warehouse design
title_short Using lexical ontology for semi-automatic logical data warehouse design
title_sort using lexical ontology for semi-automatic logical data warehouse design
topic T10.5 Communication of technical information
url http://irep.iium.edu.my/13621/
http://irep.iium.edu.my/13621/
http://irep.iium.edu.my/13621/
http://irep.iium.edu.my/13621/1/WA_13606_MIOR_NASIR__Using_Lexical_Ontology.pdf