crowd: A Visual Tool for Involving Stakeholders into Ontology Engineering Tasks
; Gimenez, Christian ; Cecchi, Laura Andrea ; Fillottrani, Pablo Otros responsables
Fecha
09/2020
Editorial
Springer
Revista
KI - Kunstliche Intelligenz
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Institución organizadora
ISSN
0933-1875
eISSN
1610-1987
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Inglés
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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.
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