Ontology-based text summarization. The case of Texminer

Pedro Hípola (Departamento de Informacion y Comunicacion, Universidad de Granada, Granada, Spain)
José A. Senso (Departamento de Informacion y Comunicacion, Universidad de Granada, Granada, Spain)
Amed Leiva-Mederos (Departamento de Informacion y Comunicacion, Universidad de Granada, Granada, Spain)
Sandor Domínguez-Velasco (Departamento de Informacion y Comunicacion, Universidad de Granada, Granada, Spain)

Library Hi Tech

ISSN: 0737-8831

Publication date: 10 June 2014

Abstract

Purpose

The purpose of this paper is to look into the latest advances in ontology-based text summarization systems, with emphasis on the methodologies of a socio-cognitive approach, the structural discourse models and the ontology-based text summarization systems.

Design/methodology/approach

The paper analyzes the main literature in this field and presents the structure and features of Texminer, a software that facilitates summarization of texts on Port and Coastal Engineering. Texminer entails a combination of several techniques, including: socio-cognitive user models, Natural Language Processing, disambiguation and ontologies. After processing a corpus, the system was evaluated using as a reference various clustering evaluation experiments conducted by Arco (2008) and Hennig et al. (2008). The results were checked with a support vector machine, Rouge metrics, the F-measure and calculation of precision and recall.

Findings

The experiment illustrates the superiority of abstracts obtained through the assistance of ontology-based techniques.

Originality/value

The authors were able to corroborate that the summaries obtained using Texminer are more efficient than those derived through other systems whose summarization models do not use ontologies to summarize texts. Thanks to ontologies, main sentences can be selected with a broad rhetorical structure, especially for a specific knowledge domain.

Keywords

Citation

Hípola, P., A. Senso, J., Leiva-Mederos, A. and Domínguez-Velasco, S. (2014), "Ontology-based text summarization. The case of Texminer", Library Hi Tech, Vol. 32 No. 2, pp. 229-248. https://doi.org/10.1108/LHT-01-2014-0005

Publisher

:

Emerald Group Publishing Limited

Copyright © 2014, Emerald Group Publishing Limited

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