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

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.

Universal Framework for OWL2 Ontology Transformations

Faculty of Computer Science and Management

Wrocław University of Science and Technology

Foundations of Computing and Decision Sciences

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

{"article-title":"Universal Framework for OWL2 Ontology Transformations"}

Domain ontologies are valuable knowledge assets with many potential applications, e.g. in software engineering. Their content is often a subject of...

Universal Framework for OWL2 Ontology Transformations

Publicado en línea: 31 dic 2018

Páginas: 375 - 393

Recibido: 04 jul 2018

Aceptado: 19 oct 2018

DOI: https://doi.org/10.1515/fcds-2018-0019

Palabras clave
OWL2, ontology, framework, transformation, translation, mapping, Groovy

© 2018 Bogumiła Hnatkowska et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Universal Framework for OWL2 Ontology Transformations

Publicado en línea: 31 dic 2018

Páginas: 375 - 393

Recibido: 04 jul 2018

Aceptado: 19 oct 2018

DOI: https://doi.org/10.1515/fcds-2018-0019

Palabras claveOWL2, ontology, framework, transformation, translation, mapping, Groovy

© 2018 Bogumiła Hnatkowska et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Palabras clave
OWL2, ontology, framework, transformation, translation, mapping, Groovy