dc.creatorBraun, Germán Alejandro
dc.creatorGimenez, Christian
dc.creatorCecchi, Laura Andrea
dc.creatorFillottrani, Pablo
dc.date.accessioned2021-09-13T18:12:58Z
dc.date.accessioned2022-10-15T13:44:15Z
dc.date.available2021-09-13T18:12:58Z
dc.date.available2022-10-15T13:44:15Z
dc.date.created2021-09-13T18:12:58Z
dc.date.issued2020-09
dc.identifierBraun, 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
dc.identifier0933-1875
dc.identifierhttp://hdl.handle.net/11336/140232
dc.identifier1610-1987
dc.identifierCONICET Digital
dc.identifierCONICET
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4392839
dc.description.abstractWe 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.
dc.languageeng
dc.publisherSpringer
dc.relationinfo:eu-repo/semantics/altIdentifier/url/http://link.springer.com/10.1007/s13218-020-00657-8
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1007/s13218-020-00657-8
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subjectCONCEPTUAL MODELLING
dc.subjectONTOLOGY ENGINEERING
dc.subjectSEMANTIC WEB TOOLS
dc.titlecrowd: A Visual Tool for Involving Stakeholders into Ontology Engineering Tasks
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:ar-repo/semantics/artículo
dc.typeinfo:eu-repo/semantics/publishedVersion


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