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Ontology‐based text summarization. The case of Texminer

Ontology‐based text summarization. The case of Texminer 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Library Hi Tech Emerald Publishing

Ontology‐based text summarization. The case of Texminer

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References (68)

Publisher
Emerald Publishing
Copyright
Copyright © 2014 Emerald Group Publishing Limited. All rights reserved.
ISSN
0737-8831
DOI
10.1108/LHT-01-2014-0005
Publisher site
See Article on Publisher Site

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.

Journal

Library Hi TechEmerald Publishing

Published: Jun 10, 2014

Keywords: Information retrieval; Software evaluation; Ontologies; Indexing; Programming; Automatic summarization systems; Texminer

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