2026-06-02T03:58:04Zhttps://riuma.uma.es/rest/oai/requestoai:riuma.uma.es:10630/265662026-02-03T11:32:47Zcom_10630_2254col_10630_37953
RIUMA. Repositorio Institucional de la Universidad de Málaga
author
Rodríguez-Revello, Jorge
author
Barba-González, Cristóbal
author
Rybinski, Maciej
author
Navas-Delgado, Ismael
2023-05-16T07:36:44Z
2023-05-16T07:36:44Z
2023
Jorge Rodríguez-Revello, Cristóbal Barba-González, Maciej Rybinski, Ismael Navas-Delgado, KNIT: Ontology reusability through knowledge graph exploration, Expert Systems with Applications, Volume 228, 2023, 120239, ISSN 0957-4174, https://doi.org/10.1016/j.eswa.2023.120239.
https://hdl.handle.net/10630/26566
https://doi.org/10.1016/j.eswa.2023.120239
Ontologies have become a standard for knowledge representation across several domains. In Life Sciences, numerous ontologies have been introduced to represent human knowledge, often providing overlapping or conflicting perspectives. These ontologies are usually published as OWL or OBO, and are often registered in open repositories, e.g., BioPortal. However, the task of finding the concepts (classes and their properties) defined in the existing ontologies and the relationships between these concepts across different ontologies – for example, for developing a new ontology aligned with the existing ones – requires a great deal of manual
effort in searching through the public repositories for candidate ontologies and their entities. In this work, we develop a new tool, KNIT, to automatically explore open repositories to help users fetch the previously designed concepts using keywords. User-specified keywords are then used to retrieve matching names of classes or properties. KNIT then creates a draft knowledge graph populated with the concepts and relationships retrieved from the existing ontologies. Furthermore, following the process of ontology learning, our tool refines this first draft of an ontology. We present three BioPortal-specific use cases for our tool. These use cases outline the development of new knowledge graphs and ontologies in the sub-domains of biology: genes and diseases,
virome and drugs.
eng
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Recuperación de la información
Estructuras de datos (Informática)
Bancos de datos
KNIT: Ontology reusability through knowledge graph exploration
journal article
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