Artículo

crowd: A Visual Tool for Involving Stakeholders into Ontology Engineering Tasks

Braun, Germán AlejandroIcon ; Gimenez, Christian; Cecchi, Laura Andrea; Fillottrani, Pablo
Fecha de publicación: 09/2020
Editorial: Springer
Revista: KI - Kunstliche Intelligenz
ISSN: 0933-1875
e-ISSN: 1610-1987
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:

Resumen

We present crowd, a web-based visual tool for ontology engineering tasks. Its aim is to involve ontology developers and domain experts into a collaborative comprehension and design of conceptual models, enhancing the communication between them and assessing their quality by fully integrating automatic reasoning in the tool. In this paper we briefly describe the initial requirements, architecture and user interface, and make an evaluation based on a use case and a comparison with related tools.
Palabras clave: CONCEPTUAL MODELLING , ONTOLOGY ENGINEERING , SEMANTIC WEB TOOLS
 
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Licencia
info:eu-repo/semantics/restrictedAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/140232
URL: http://link.springer.com/10.1007/s13218-020-00657-8
DOI: http://dx.doi.org/10.1007/s13218-020-00657-8
Colecciones
Articulos(CCT - PATAGONIA CONFLUENCIA)
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - PATAGONIA CONFLUENCIA
Citación
Braun, Germán Alejandro; Gimenez, Christian; Cecchi, Laura Andrea; Fillottrani, Pablo; crowd: A Visual Tool for Involving Stakeholders into Ontology Engineering Tasks; Springer; KI - Kunstliche Intelligenz; 34; 3; 9-2020; 365-371
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