<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Glossary of Terms extraction from textual requirements is an important step in ontology engineering methodologies. Although initially it was intended to be performed manually, last years have shown that some degree of automatization is possible. Based on these promising approaches, we introduce a novel, human interpretable, rule-based method named R<sc>eq</sc>T<sc>agger</sc>, which can extract candidates for ontology entities (classes or instances) and relations (data or object properties) from textual requirements automatically. We compare R<sc>eq</sc>T<sc>agger</sc> to existing automatic methods on an evaluation benchmark consisting of over 550 requirements and tagged with over 1700 entities and relations expected to be extracted. We discuss the quality of R<sc>eq</sc>T<sc>agger</sc> and provide details showing why it outperforms other methods. We also publish both the evaluation dataset and the implementation of R<sc>eq</sc>T<sc>agger</sc>.</p>
</abstract>

Glossary of Terms extraction from textual requirements is an important step in ontology engineering methodologies. Although initially it was intended to be performed manually, last years have shown that some degree of automatization is possible. Based on these promising approaches, we introduce a novel, human interpretable, rule-based method named ReqTagger, which can extract candidates for ontology entities (classes or instances) and relations (data or object properties) from textual requirements automatically. We compare ReqTagger to existing automatic methods on an evaluation benchmark consisting of over 550 requirements and tagged with over 1700 entities and relations expected to be extracted. We discuss the quality of ReqTagger and provide details showing why it outperforms other methods. We also publish both the evaluation dataset and the implementation of ReqTagger.

ReqTagger: A Rule-Based Tagger for Automatic Glossary of Terms Extraction from Ontology Requirements

Foundations of Computing and Decision Sciences

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Glossary of Terms extraction from textual requirements is an important step in ontology engineering methodologies. Although initially it was intended to be...

ReqTagger: A Rule-Based Tagger for Automatic Glossary of Terms Extraction from Ontology Requirements

Publié en ligne: 23 févr. 2022

Pages: 65 - 86

Reçu: 07 avr. 2021

Accepté: 10 sept. 2021

DOI: https://doi.org/10.2478/fcds-2022-0003

Mots clés
Competency Questions, Ontology Requirements, Ontology, Information Extraction, Part-of-Speech tagging

© 2022 Dawid Wiśniewski et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

ReqTagger: A Rule-Based Tagger for Automatic Glossary of Terms Extraction from Ontology Requirements

Publié en ligne: 23 févr. 2022

Pages: 65 - 86

Reçu: 07 avr. 2021

Accepté: 10 sept. 2021

DOI: https://doi.org/10.2478/fcds-2022-0003

Mots clésCompetency Questions, Ontology Requirements, Ontology, Information Extraction, Part-of-Speech tagging

© 2022 Dawid Wiśniewski et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Mots clés
Competency Questions, Ontology Requirements, Ontology, Information Extraction, Part-of-Speech tagging