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

, , , and . Künstliche Intell., 34 (3): 365-371 (2020)

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Towards All-In-One OBDA Systems., , and . JOWO, volume 2518 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)Towards a Visualisation Process for Ontology-Based Conceptual Modelling., , , and . ONTOBRAS, volume 1862 of CEUR Workshop Proceedings, page 107-118. CEUR-WS.org, (2016)BiGe-Onto: An ontology-based system for managing biodiversity and biogeography data., , , , and . Appl. Ontology, 15 (4): 411-437 (2020)Capability Maturity Models as a Means to Standardize Sustainable Development Goals Indicators Data Production., , , and . J. ICT Stand., 6 (3): 216-244 (2018)Logics for Conceptual Data Modelling: A Review., and . TGDK, 2 (1): 4:1-4:30 (2024)The SEWASIE Multi-agent System., , and . AP2PC, volume 3601 of Lecture Notes in Computer Science, page 120-131. Springer, (2004)Structural Entities of an Ontology-Driven Unifying Metamodel for UML, EER, and ORM2., and . MEDI, volume 8216 of Lecture Notes in Computer Science, page 188-199. Springer, (2013)The ICOM 3.0 intelligent conceptual modelling tool and methodology., , and . Semantic Web, 3 (3): 293-306 (2012)KF metamodel formalization., and . CoRR, (2014)Taking Advantages of Automated Reasoning in Visual Ontology Engineering Environments., , and . JOWO, volume 2518 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)