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Article

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Title

Universal Framework for OWL2 Ontology Transformations

Authors

Year of publication

2018

Published in

Foundations of Computing and Decision Sciences

Journal year: 2018 | Journal volume: vol. 43 | Journal number: no. 4

Article type

scientific article

Publication language

english

Keywords
EN
  • OWL2
  • ontology
  • framework
  • transformation
  • translation
  • mapping
  • Groovy
Abstract

EN Domain ontologies are valuable knowledge assets with many potential applications, e.g. in software engineering. Their content is often a subject of bi-directional transformations. Unfortunately, a centralized transformation service which can be easily extended with new mappers is not available for ontology users. In consequence, they have to deal with many different translation programs, which have to be installed and learned separately. The paper presents a framework for universal ontology processing, dedicated to ontologies expressed in OWL2. The framework usefulness was verified by a proof-of-concept implementation, for which an existing OWL2 to Groovy translator was adapted. During the integration process, the translator functionality was enhanced with ontology individuals mapping. The exemplary implementation confirmed that the framework with plug-in architecture is flexible and easy for customization. The ontology stakeholders should benefit from the reduced cognitive load and more satisfying transformation process.

Pages (from - to)

375 - 393

DOI

10.1515/fcds-2018-0019

URL

https://www.sciendo.com/article/10.1515/fcds-2018-0019

License type

CC BY-NC-ND (attribution - noncommercial - no derivatives)

Full text of article

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public

Ministry points / journal

15

Ministry points / journal in years 2017-2021

15

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