loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: R. Rajugan ; Elizabeth Chang and Tharam S. Dillon

Affiliation: Digital Ecosystems and Business Intelligence Institute (DEBII), Curtin Univeristy of Technology, Australia

ISBN: 978-972-8865-88-7

Keyword(s): XML, data/document warehouse, views, Object-Oriented conceptual models, Layered View Model (LVM), XML views.

Related Ontology Subjects/Areas/Topics: Data Warehouses and OLAP ; Databases and Information Systems Integration ; Enterprise Information Systems ; Object-Oriented Database Systems ; Web Databases

Abstract: Since the introduction of eXtensible Markup Language (XML), XML repositories have gained a foothold in many global (and government) organizations, where, e-Commerce and e-Business models have maturated in handling daily transactional data among heterogeneous information systems. Due to this, the amount of data available for enterprise decision-making process is increasing exponentially and are being stored and/or communicated in XML. This presents an interesting challenge to investigate models, frameworks and techniques for organizing and analyzing such voluminous, yet distributed XML documents for business intelligence in the form of XML warehouse repositories and XML marts. In our previous work, we proposed a Layered View Model (LVM) driven, conceptual modeling framework for the design and development of an XML Document Warehouse (XDW) model with emphasis on conceptual and logical semantics. There, we presented a view-driven framework to conceptually model and deploy meaningful XML FACT repositories in the XDW model. Here, in this paper, we look at the hierarchical dimensions and their theoretical semantics used to design, specify and define dimensions over an XML FACT repository in the XDW model. One of the unique properties of this LVM-driven approach is that the dimensions are considered as first-class citizens of the XDW conceptual model. Also, here, to illustrate our concepts, we use a real-world case study example; a logically grouped, geographically dispersed, XDW model in the context of a global logistics and cold-storage company. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.233.219.101

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Rajugan R.; Chang E.; S. Dillon T. and (2007). MODELING DIMENSIONS IN THE XDW MODEL - A LVM-Driven Approach.In Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 3: ICEIS, ISBN 978-972-8865-88-7, pages 60-70. DOI: 10.5220/0002372700600070

@conference{iceis07,
author={R. Rajugan and Elizabeth Chang and Tharam {S. Dillon}},
title={MODELING DIMENSIONS IN THE XDW MODEL - A LVM-Driven Approach},
booktitle={Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 3: ICEIS,},
year={2007},
pages={60-70},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002372700600070},
isbn={978-972-8865-88-7},
}

TY - CONF

JO - Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 3: ICEIS,
TI - MODELING DIMENSIONS IN THE XDW MODEL - A LVM-Driven Approach
SN - 978-972-8865-88-7
AU - Rajugan, R.
AU - Chang, E.
AU - S. Dillon, T.
PY - 2007
SP - 60
EP - 70
DO - 10.5220/0002372700600070

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.