Galaxy-Gen - A Tool for Building Galaxy Model from XML Documents

Ines Ben Messaoud, Jamel Feki, Gilles Zurfluh

2014

Abstract

A galaxy model is a multidimensional model dedicated for XML document warehouses. It can be seen as a network of entities (i.e., dimensions) connected via nodes. After giving an overview of our four-steps semi-automated method for the generation of galaxy models which aims to build data marts from XML documents. This paper focuses on the software tool, called Galaxy-Gen that implements the proposed method. We illustrate the Galaxy-Gen functionalities and make its first assessment through two experiments. The first experiment is applied to a set of twenty XML documents taken from the academic domain. The second one addressed a set of 1691 XML documents issued from the Clef-2007 collection. The assessment is performed by comparing manual design galaxy models with those produced by the Galaxy-Gen tool. The results are very promising.

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Paper Citation


in Harvard Style

Ben Messaoud I., Feki J. and Zurfluh G. (2014). Galaxy-Gen - A Tool for Building Galaxy Model from XML Documents . In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2014) ISBN 978-989-758-049-9, pages 84-95. DOI: 10.5220/0005082300840095

in Bibtex Style

@conference{keod14,
author={Ines Ben Messaoud and Jamel Feki and Gilles Zurfluh},
title={Galaxy-Gen - A Tool for Building Galaxy Model from XML Documents},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2014)},
year={2014},
pages={84-95},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005082300840095},
isbn={978-989-758-049-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2014)
TI - Galaxy-Gen - A Tool for Building Galaxy Model from XML Documents
SN - 978-989-758-049-9
AU - Ben Messaoud I.
AU - Feki J.
AU - Zurfluh G.
PY - 2014
SP - 84
EP - 95
DO - 10.5220/0005082300840095