Título:	Taxonomy OWLizer: a tool for converting taxonomic data into OWL.
Autor:	SOARES, F. M. SARAIVA, A. M. PIRES, L. F. SANTOS, L. O. B. da S. DRUCKER, D. P.
Afiliación:	FILIPI MIRANDA SOARES, UNIVERSITY OF TWENTE ANTONIO MAURO SARAIVA, UNIVERSIDADE DE SÃO PAULO LUÍS FERREIRA PIRES, UNIVERSITY OF TWENTE LUIZ OLAVO BONINO DA SILVA SANTOS, UNIVERSITY OF TWENTE DEBORA PIGNATARI DRUCKER, CNPTIA.
Año:	2025
Referencia:	Biodiversity Information Science and Standards, v. 9, e176413, 2025.
Descripción:	The growing demand for high-quality, interoperable biodiversity data exposes the current challenges of standardizing taxonomic information across platforms. While the Global Biodiversity Information Facility Backbone Taxonomy (GBIF Secretariat 2023) offers a valuable reference for species names, translating this information into formal ontology structures for semantic integration remains a complex task. A key challenge lies in the dynamic nature of taxonomic knowledge: as GBIF-BT is continuously updated, ontologies built manually from its data risk becoming outdated or misaligned. Without automated mechanisms for synchronizing with these updates, such ontologies may fail to reflect current taxonomic consensus, limiting their interoperability and long-term usefulness in biodiversity informatics. To address this problem, we developed the Taxonomy OWLizer (TOWLizer), a lightweight web application that allows users to convert species names into Web Ontology Language (OWL) ontologies based on taxonomic data retrieved directly from the GBIF Species API, as detailed in Fig. 1.
Palabras clave:	Ontologia Web semântica RDF ChatGPT
DOI:	https://doi.org/10.3897/biss.9.176413
Notas:	Presented at Living Data 2025, Bogotá, Colômbia.
Tipo de Material:	Resumo em anais e proceedings
Acceso:	openAccess
Aparece en las colecciones:	Resumo em anais de congresso (CNPTIA)