Detection of Semantic Relationships between Terms with a New Statistical Method

Nesrine Ksentini; Mohamed Tmar; Faïez Gargouri

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Paper

Detection of Semantic Relationships between Terms with a New Statistical Method

Topics: Web Information Filtering and Retrieval

In Proceedings of the 10th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, 340-343, 2014 , Barcelona, Spain

Authors: Nesrine Ksentini ; Mohamed Tmar and Faïez Gargouri

Affiliation: University of Sfax and Higher Institute of Computer Science and Multimedia of Sfax, Tunisia

Keyword(s): Semantic Relatedness, Least Square Method, Information Retrieval, Query Expansion.

Abstract: Semantic relatedness between terms plays an important role in many applications, such as information retrieval, in order to disambiguate document content. This latter is generally studied among pairs of terms and is usually presented in a non-linear way. This paper presents a new statistical method for detecting relationships between terms called Least Square Mehod which defines these relations linear and between a set of terms. The evaluation of the proposed method has led to optimal results with low error rate and meaningful relationships. Experimental results show that the use of these relationships in query expansion process improves the retrieval results.

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Paper citation in several formats:

Ksentini, N.; Tmar, M. and Gargouri, F. (2014). Detection of Semantic Relationships between Terms with a New Statistical Method. In Proceedings of the 10th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST; ISBN 978-989-758-024-6; ISSN 2184-3252, SciTePress, pages 340-343. DOI: 10.5220/0004960403400343

@conference{webist14,
author={Nesrine Ksentini. and Mohamed Tmar. and Faïez Gargouri.},
title={Detection of Semantic Relationships between Terms with a New Statistical Method},
booktitle={Proceedings of the 10th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST},
year={2014},
pages={340-343},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004960403400343},
isbn={978-989-758-024-6},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST
TI - Detection of Semantic Relationships between Terms with a New Statistical Method
SN - 978-989-758-024-6
IS - 2184-3252
AU - Ksentini, N.
AU - Tmar, M.
AU - Gargouri, F.
PY - 2014
SP - 340
EP - 343
DO - 10.5220/0004960403400343
PB - SciTePress