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Title: Ontology fixing by using software engineering technology
Authors: Roldan-Molina, G. R.
Méndez, J. R.
Yevseyeva, I.
Basto-Fernandes, V.
Keywords: Ontologies
Fixing ontologies
Quick fix
Quality metrics
Issue Date: 2020
Publisher: MDPI AG
Abstract: This paper presents OntologyFixer, a web-based tool that supports a methodology to build, assess, and improve the quality of ontology web language (OWL) ontologies. Using our software, knowledge engineers are able to fix low-quality OWL ontologies (such as those created from natural language documents using ontology learning processes). The fixing process is guided by a set of metrics and fixing mechanisms provided by the tool, and executed primarily through automated changes (inspired by quick fix actions used in the software engineering domain). To evaluate the quality, the tool supports numerical and graphical quality assessments, focusing on ontology content and structure attributes. This tool follows principles, and provides features, typical of scientific software, including user parameter requests, logging, multithreading execution, and experiment repeatability, among others. OntologyFixer architecture takes advantage of model view controller (MVC), strategy, template, and factory design patterns; and decouples graphical user interfaces (GUI) from ontology quality metrics, ontology fixing, and REST (REpresentational State Transfer) API (Application Programming Interface) components (used for pitfall identification, and ontology evaluation). We also separate part of the OntologyFixer functionality into a new package called OntoMetrics, which focuses on the identification of symptoms and the evaluation of the quality of ontologies. Finally, OntologyFixer provides mechanisms to easily develop and integrate new quick fix methods.
Peer reviewed: yes
DOI: 10.3390/app10186328
ISSN: 2076-3417
Accession number: WOS:000580507700001
Appears in Collections:ISTAR-RI - Artigos em revistas científicas internacionais com arbitragem científica

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