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

Braun, Germán; Gimenez, Christian; Cecchi, Laura; Fillottrani, Pablo

Autor(en):

Braun, Germán [DBLP] ;

Gimenez, Christian [DBLP] ;

Cecchi, Laura [DBLP] ;

Fillottrani, Pablo [DBLP]

Zusammenfassung

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.

Vollständige Referenz
BibTeX

Braun, G., Gimenez, C., Cecchi, L. & Fillottrani, P., (2020). crowd: A Visual Tool for Involving Stakeholders into Ontology Engineering Tasks. KI - Künstliche Intelligenz: Vol. 34, No. 3. Springer. (S. 365-371). DOI: 10.1007/s13218-020-00657-8

@article{mci/Braun2020,
author = {Braun, Germán AND Gimenez, Christian AND Cecchi, Laura AND Fillottrani, Pablo},
title = {crowd: A Visual Tool for Involving Stakeholders into Ontology Engineering Tasks},
journal = {KI - Künstliche Intelligenz},
volume = {34},
number = {3},
year = {2020},
,
pages = { 365-371 } ,
doi = { 10.1007/s13218-020-00657-8 }
}

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