| dc.contributor.author | Braun, Germán | |
| dc.contributor.author | Gimenez, Christian | |
| dc.contributor.author | Cecchi, Laura | |
| dc.contributor.author | Fillottrani, Pablo | |
| dc.date | 2020-09-01 | |
| dc.date.accessioned | 2021-04-23T09:35:32Z | |
| dc.date.available | 2021-04-23T09:35:32Z | |
| dc.date.issued | 2020 | |
| dc.identifier.issn | 1610-1987 | |
| dc.identifier.uri | http://dx.doi.org/10.1007/s13218-020-00657-8 | |
| dc.identifier.uri | http://dl.gi.de/handle/20.500.12116/36315 | |
| dc.description.abstract | 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. | de |
| dc.publisher | Springer | |
| dc.relation.ispartof | KI - Künstliche Intelligenz: Vol. 34, No. 3 | |
| dc.relation.ispartofseries | KI - Künstliche Intelligenz | |
| dc.subject | Conceptual modelling | |
| dc.subject | Ontology engineering | |
| dc.subject | Semantic web tools | |
| dc.title | crowd: A Visual Tool for Involving Stakeholders into Ontology Engineering Tasks | de |
| dc.type | Text/Journal Article | |
| mci.reference.pages | 365-371 | |
| dc.identifier.doi | 10.1007/s13218-020-00657-8 | |
