An Experimental Analysis of Tools for Ontology Evolution Management

Jéssica S. Santos, Viviane T. Silva, Leonardo G. Azevedo, Elton F. S. Soares, Raphael M. Thiago

2020

Abstract

The use of ontology is widely spread among software engineering groups as a way to represent, structure, share and reuse knowledge. As projects progress, the ontological understanding of the domain may change, evolve. New domain concepts may emerge and existing ones may disappear or be updated, causing changes in the ontology. Taking this into account, the management of the ontology evolution/life cycle should be addressed by the ones that adopt them as a way of representing knowledge. This paper provides an analysis of tools related to ontology evolution management focusing on the ones able to identify elementary and complex changes (by grouping elementary changes) that help on externalizing the intention of the user. The main contribution of this analysis is to present the state of the art of tools related to ontology evolution by identifying their strengths and limitations. The results are particularly useful to ontology designers who need to choose a tool to help them to inspect, understand and manage ontology evolution. Besides, we point out several research issues to be addressed in different kinds of research initiatives.

Paper Citation

in Harvard Style

Santos J., Silva V., Azevedo L., Soares E. and Thiago R. (2020). An Experimental Analysis of Tools for Ontology Evolution Management.In Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-423-7, pages 111-121. DOI: 10.5220/0009395601110121

in Bibtex Style

@conference{iceis20,
author={Jéssica Santos and Viviane Silva and Leonardo Azevedo and Elton Soares and Raphael Thiago},
title={An Experimental Analysis of Tools for Ontology Evolution Management},
booktitle={Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2020},
pages={111-121},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009395601110121},
isbn={978-989-758-423-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - An Experimental Analysis of Tools for Ontology Evolution Management
SN - 978-989-758-423-7
AU - Santos J.
AU - Silva V.
AU - Azevedo L.
AU - Soares E.
AU - Thiago R.
PY - 2020
SP - 111
EP - 121
DO - 10.5220/0009395601110121