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Graph-based methods for Significant Concept Selection

Gasmi, Karim and Torjmen-Khemakhem, Mouna and Tamine, Lynda and Ben Jemaa, Maher Graph-based methods for Significant Concept Selection. (2015) In: International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES), 7 September 2015 - 9 September 2015 (Singapoure, Singapore).

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Official URL: https://doi.org/10.1016/j.procs.2015.08.170

Abstract

It is well known in information retrieval area that one important issue is the gap between the query and document vocabularies. Concept-based representation of both the document and the query is one of the most effective approaches that lowers the effect of text mismatch and allows the selection of relevant documents that deal with the shared semantics hidden behind both. However, identifying the best representative concepts from texts is still challenging. In this paper, we propose a graph-based method to select the most significant concepts to be integrated into a conceptual indexing system. More specifically, we build the graph whose nodes represented concepts and weighted edges represent semantic distances. The importance of concepts are computed using centrality algorithms that levrage between structural and contextual importance. We experimentally evaluated our method of concept selection using the standard ImageClef2009 medical data set. Results showed that our approach significantly improves the retrieval effectiveness in comparison to state-of-the-art retrieval models.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to Elsevier editor. This papers appears in volume 60 Procedia Computer Science ISSN: 1877-0509 The definitive version is available at: http://www.sciencedirect.com The original PDF of the article can be found at : http://www.sciencedirect.com/science/article/pii/S1877050915022978
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > Université de Sfax (TUNISIA)
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Deposited By: IRIT IRIT
Deposited On:19 Sep 2017 13:24

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