The Diagrammatic Image Schema Language (DISL)

Author:

Hedblom Maria M.1ORCID,Neuhaus Fabian2ORCID,Mossakowski Till2ORCID

Affiliation:

1. Jönköping AI Lab, Jönköping University, Jönköping, Sweden

2. AG Formale Methoden und Semantik, Otto-von-Guericke University Magdeburg, Magdeburg, Germany

Publisher

Informa UK Limited

Reference66 articles.

1. Cogmic space for narrative-based world representation

2. Álvez, J., Gonzalez-Dios, I., & Rigau, G. (2020). Applying the closed world assumption to SUMO-Based FOL ontologies for effective commonsense reasoning. In G. D. Giacomo (Ed.), ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, - Including 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020) (Vol. 325. pp. 585–592). IOS Press. https://doi.org/10.3233/FAIA200142

3. Beetz, M., Tenorth, M., & Winkler, J. (2015). Open-ease. Proceedings of the 2015 IEEE International Conference on Robotics and Automation (ICRA), Seattle, WA, USA (pp. 1983–1990).

4. Bennett, B., & Cialone, C. (2014). Corpus guided sense cluster analysis: A methodology for ontology development (with examples from the spatial domain). In P. Garbacz & O. Kutz (Eds.), Proceedings of the 8th International Conference on Formal Ontology in Information Systems (FOIS), Rio De Janeiro, Brazil (Vol. 267. pp. 213–226). IOS Press.

5. Bourou, D., Schorlemmer, M., & Plaza, E. (2021). Image schemas and conceptual blending in diagrammatic reasoning: The case of Hasse diagrams. Proceedings of the 12th International Conference on Diagrammatic Representation and Inference (DIAGRAMS) (pp. 297–314).

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