Automating ontology engineering support activities with OnToology

Alobaid, Ahmad, Garijo Verdejo, Daniel ORCID: https://orcid.org/0000-0003-0454-7145, Poveda Villalón, María ORCID: https://orcid.org/0000-0003-3587-0367, Santana Pérez, Idafen, Fernández Izquierdo, Alba ORCID: https://orcid.org/0000-0003-2011-3654 and Corcho, Oscar ORCID: https://orcid.org/0000-0002-9260-0753 (2019). Automating ontology engineering support activities with OnToology. "Journal of Web Semantics", v. 57 ; p. 100472. ISSN 1570-8268. https://doi.org/10.1016/j.websem.2018.09.003.

Descripción

Título: Automating ontology engineering support activities with OnToology
Autor/es:
Tipo de Documento: Artículo
Título de Revista/Publicación: Journal of Web Semantics
Fecha: Agosto 2019
ISSN: 1570-8268
Volumen: 57
Materias:
ODS:
Palabras Clave Informales: Ontology engineering, Ontology evaluation, Ontology documentation, Ontology publication
Escuela: Facultad de Informática (UPM) [antigua denominación]
Departamento: Inteligencia Artificial
Grupo Investigación UPM: Ontology Engineering Group – OEG
Licencias Creative Commons: Ninguna

Texto completo

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Resumen

Due to the increasing uptake of semantic technologies, ontologies are now part of a good number of information systems. As a result, software development teams that have to combine ontology engineering activities with software development practices are facing several challenges, since these two areas have evolved, in general, separately. In this paper we present OnToology, an approach to manage ontology engineering support activities (i.e., documentation, evaluation, releasing and versioning). OnToology is a web-based application that builds on top of Git-based environments and integrates existing semantic web technologies. We have validated OnToology against a set of representative requirements for ontology development support activities in distributed environments, and report on a survey of the system to assess its usefulness and usability.

Proyectos asociados

Tipo
Código
Acrónimo
Responsable
Título
Gobierno de España
TIN2016-78011-C4-4-R
Datos 4.0
Oscar Corcho
Datos 4.0: retos y soluciones

Más información

ID de Registro: 78226
Identificador DC: https://oa.upm.es/78226/
Identificador OAI: oai:oa.upm.es:78226
URL Portal Científico: https://portalcientifico.upm.es/es/ipublic/item/5654480
Identificador DOI: 10.1016/j.websem.2018.09.003
URL Oficial: https://www.sciencedirect.com/science/article/pii/...
Depositado por: María Poveda-Villalón
Depositado el: 30 Ene 2024 10:53
Ultima Modificación: 28 Abr 2026 10:03