More Effective Ontology Authoring with Test-Driven Development and the TDDonto2 Tool

Author:

Davies Kieren1,Keet C. Maria1ORCID,Lawrynowicz Agnieszka2

Affiliation:

1. Department of Computer Science, University of Cape Town, South Africa, Cape Town 7701, Western Cape, South Africa

2. Faculty of Computing and Center for Artificial Intelligence and Machine Learning (CAMIL), Poznan University of Technology, Poland

Abstract

Ontology authoring is a complex process, where commonly the automated reasoner is invoked for verification of newly introduced changes, therewith amounting to a time-consuming test-last approach. Test-Driven Development (TDD) for ontology authoring is a recent test-first approach that aims to reduce authoring time and increase authoring efficiency. Current TDD testing falls short on coverage of OWL features and possible test outcomes, the rigorous foundation thereof, and evaluations to ascertain its effectiveness. We aim to address these issues in one instantiation of TDD for ontology authoring. We first propose a succinct, logic-based specification of TDD testing and present novel TDD algorithms so as to cover also any OWL 2 class expression for the TBox and for the principal ABox assertions, and prove their correctness. The algorithms use methods from the OWL API directly such that reclassification is not necessary for test execution, therewith reducing ontology authoring time. The algorithms were implemented in TDDonto2, a Protégé plugin. TDDonto2 was evaluated by users, which demonstrated that modellers make significantly fewer errors with TDDonto2 compared to the standard Protégé interface and complete their tasks better using less time. Thus, the results indicate that TDD is a promising approach in an ontology development methodology.

Funder

Fundacja na rzecz Nauki Polskiej

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Artificial Intelligence

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2. Showing the Use of Test-Driven Development in Big Data Engineering on the Example of a Stock Market Prediction Application;Proceedings of Eighth International Congress on Information and Communication Technology;2023

3. Visualising the effects of ontology changes and studying their understanding with ChImp;Journal of Web Semantics;2022-10

4. Identifying Guidelines for Test-Driven Development in Software Engineering—A Literature Review;Proceedings of Seventh International Congress on Information and Communication Technology;2022-08-17

5. LOT: An industrial oriented ontology engineering framework;Engineering Applications of Artificial Intelligence;2022-05

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