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MARIO Ontology Network (MON)

This repository contains the specification of the MARIO Ontology Network (MON). This network aims at providing social robots with the means for creating, organising, querying and reasoning over a background knowledge base (e.g. to store/retrieve user's personal information). The MARIO Ontology Network (MON) is composed of different ontologies that cover different knowledge areas.

The knowledge areas were identified by analysing the use cases that emerged from the MARIO project. These uses cases mainly describe actions and behaviours featuring the MARIO robots. Nevertheless, they also provide us with detailed descriptions about the nature of the knowledge that the robot should deal with in order to perform and select actions and behaviours, respectively.

Currently, the MON consists of 12 knowledge areas and 40 modules.

Tracking the usage

Tracking the usage of an ontology is crucial for allowing us to measure the impact of the work. If you use one the ontologies of the network in your project, please let us know it by opening an issue.

References

  1. L. Asprino, A.G. Nuzzolese, A. Russo, A. Gangemi, V. Presutti and S. Nolfi. An Ontology Design Pattern for supporting behaviour arbitration in cognitive agents. In: Proceedings of the 7th Workshop on Ontology and Semantic Web Patterns co-located with ISWC 2016 (WOP 2016). Kobe, Japan, 2016 PDF

  2. A. Gangemi, M. Alam, L. Asprino, V. Presutti and D. Reforgiato Recupero. Framester: A Wide Coverage Linguistic Linked Data Hub. In: Proceedings of the 20th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2016). Bologna, Italy, 2016 DOI: 10.1007/978-3-319-49004-5_16

  3. L. Asprino, A. Gangemi, A.G. Nuzzolese, V. Presutti, D. Reforgiato Recupero and A. Russo. Autonomous Comprehensive Geriatric Assessment. In: Proceedings of the 1st International Workshop on Application of Semantic Web technologies in Robotics co-located with 14th ESWC (ANSWER 2017), Portoroz, Slovenia, 2017 PDF

  4. L. Asprino, A. Gangemi, A.G. Nuzzolese, V. Presutti and A. Russo. Knowledge-driven Support for Reminiscence on Companion Robots. In: Proceedings of the 1st International Workshop on Application of Semantic Web technologies in Robotics co-located with 14th ESWC (ANSWER 2017), Portoroz, Slovenia, 2017 PDF

  5. L. Asprino, A. Gangemi, A.G. Nuzzolese, V. Presutti and A. Russo. A Knowledge Management System for Assistive Robotics. In: Proceedings of the 1st International Workshop on Application of Semantic Web technologies in Robotics co-located with 14th ESWC (ANSWER 2017), Portoroz, Slovenia, 2017 PDF

  6. L.Asprino. Engineering Background Knowledge for Social Robots. Studies on the Semantic Web. IOS Press DOI: 10.3233/SSW48

License

The MARIO Ontology Network is distributed under license CC-BY 4.0

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This repository contains the specification of the MARIO Ontology Network

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