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Modelling Episodes with Generic Ontology Design Patterns

Bernd Krieg-Brückner; Mihai Codescu; Mihai Pomarlan
In: Karl Hammar; Oliver Kutz; Anastasia Dimou; Torsten Hahmann; Robert Hoehndorf; Claudio Masolo; Randi Vita (Hrsg.). Proceedings of the Joint Ontology Workshops. Joint Ontology Workshops (JOWO-2020), SKALE: Workshop on Scalable Knowledge Graph Engineering, located at Bolzano Summer of Knowledge (BOSK 2020), August 31 - October 7, Bolzano & Virtual, Italy, No. 2708,, 2020.


Developing knowledge-driven applications requires a mix of competencies; however, ontology experts are often not available to handle the foundational aspects of knowledge modelling, and end-users may be prone to introducing mistakes. As a solution, Generic Ontology Design Patterns, GODPs, encapsulate complex semantics; during reuse, instantiations provide handles for checking arguments against structural and semantic constraints stated in ontology parameters. Development is divided according to expertise: ontology experts develop GODPs while domain experts concentrate on their application in a domain; the safety of modelling and of data input for end-users is significantly increased. Safe ontology engineering with GODPs is demonstrated with episodes, a significant extension of DUL patterns, for a use case in service robotics: GODPs for narratively enabled episodic memories provide logical consistency, and safe population with data substantially scales up.

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