info:eu-repo/semantics/article
crowd: A Visual Tool for Involving Stakeholders into Ontology Engineering Tasks
Fecha
2020-09Registro en:
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
0933-1875
1610-1987
CONICET Digital
CONICET
Autor
Braun, Germán Alejandro
Gimenez, Christian
Cecchi, Laura Andrea
Fillottrani, Pablo
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.