A New Tool for Textual Aggregation In Information Retrieval

Mustapha Bouakkaz, Sabine Loudcher, Youcef Ouinten

2016

Abstract

We present in this paper a system for textual aggregation from scientific documents in the online analytical processing (OLAP) context. The system extracts keywords automatically from a set of documents according to the lists compiled in the Microsoft Academia Search web site. It gives the user the possibility to choose their methods of aggregation among the implemented ones. That is TOP-Keywords, TOPIC, TUBE, TAG, BienCube and GOTA. The performance of the chosen methods, in terms of recall, precision, F-measure and runtime, is investigated with two real corpora ITINNOVATION and OHSUMED with 600 and 13,000 scientific articles respectively, other corpora can be integrated to the system by users.

Paper Citation

in Harvard Style

Bouakkaz M., Loudcher S. and Ouinten Y. (2016). A New Tool for Textual Aggregation In Information Retrieval . In Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-187-8, pages 232-237. DOI: 10.5220/0005879702320237

in Bibtex Style

@conference{iceis16,
author={Mustapha Bouakkaz and Sabine Loudcher and Youcef Ouinten},
title={A New Tool for Textual Aggregation In Information Retrieval},
booktitle={Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2016},
pages={232-237},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005879702320237},
isbn={978-989-758-187-8},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - A New Tool for Textual Aggregation In Information Retrieval
SN - 978-989-758-187-8
AU - Bouakkaz M.
AU - Loudcher S.
AU - Ouinten Y.
PY - 2016
SP - 232
EP - 237
DO - 10.5220/0005879702320237