A Keyword-driven approach for generating OWL DL conformance test data

García Castro, Raúl ORCID: https://orcid.org/0000-0002-0421-452X and Gómez-Pérez, A. ORCID: https://orcid.org/0000-0002-3037-0331 (2013). A Keyword-driven approach for generating OWL DL conformance test data. "Engineering Applications of Artificial Intelligence", v. 26 (n. 4); pp. 1413-1420. ISSN 0952-1976. https://doi.org/10.1016/j.engappai.2012.07.009.

Descripción

Título: A Keyword-driven approach for generating OWL DL conformance test data
Autor/es:
Tipo de Documento: Artículo
Título de Revista/Publicación: Engineering Applications of Artificial Intelligence
Fecha: Abril 2013
ISSN: 0952-1976
Volumen: 26
Número: 4
Materias:
ODS:
Palabras Clave Informales: Semantic technology, Tecnología semántica, Conformance, Conformidad, Keyword-driven test data generation, Generacion de datos para probar palabras clave, OWL DL.
Escuela: Facultad de Informática (UPM) [antigua denominación]
Departamento: Lenguajes y Sistemas Informáticos e Ingeniería del Software
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

The conformance of semantic technologies has to be systematically evaluated to measure and verify the real adherence of these technologies to the Semantic Web standards. Currente valuations of semantic technology conformance are not exhaustive enough and do not directly cover user requirements and use scenarios, which raises the need for a simple, extensible and parameterizable method to generate test data for such evaluations. To address this need, this paper presents a keyword-driven approach for generating ontology language conformance test data that can be used to evaluate semantic technologies, details the definition of a test suite for evaluating OWL DL conformance using this approach,and describes the use and extension of this test suite during the evaluation of some tools.

Proyectos asociados

Tipo
Código
Acrónimo
Responsable
Título
FP7
238975
SEALS
Sin especificar
Semantic Evaluation at Large Scale

Más información

ID de Registro: 16601
Identificador DC: https://oa.upm.es/16601/
Identificador OAI: oai:oa.upm.es:16601
URL Portal Científico: https://portalcientifico.upm.es/es/ipublic/item/4013342
Identificador DOI: 10.1016/j.engappai.2012.07.009
URL Oficial: http://www.sciencedirect.com/science/article/pii/S...
Depositado por: Memoria Investigacion
Depositado el: 19 Jul 2013 15:42
Ultima Modificación: 12 Nov 2025 00:00