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OntoScene, A Logic-Based Scene Interpreter: Implementation and Application in the Rock Art Domain

Published online by Cambridge University Press:  15 January 2020

DANIELA BRIOLA Open the ORCID record for DANIELA BRIOLA [Opens in a new window] ,
VIVIANA MASCARDI Open the ORCID record for VIVIANA MASCARDI [Opens in a new window]  and
MASSIMILIANO GIOSEFFI
DANIELA BRIOLA
Affiliation:
Department of Computer Sciences, Systems and Communications University of Milano Bicocca, Italy (e-mail: [email protected])
VIVIANA MASCARDI
Affiliation:
Department of Informatics, Bioengineering, Robotics, and Systems Engineering University of Genova, Italy (e-mails: [email protected], [email protected])
MASSIMILIANO GIOSEFFI
Affiliation:
Department of Informatics, Bioengineering, Robotics, and Systems Engineering University of Genova, Italy (e-mails: [email protected], [email protected])
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Abstract

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We present OntoScene, a framework aimed at understanding the semantics of visual scenes starting from the semantics of their elements and the spatial relations holding between them. OntoScene exploits ontologies for representing knowledge and Prolog for specifying the interpretation rules that domain experts may adopt, and for implementing the SceneInterpreter engine. Ontologies allow the designer to formalize the domain in a reusable way and make the system modular and interoperable with existing multiagent systems, while Prolog provides a solid basis to define complex rules of interpretation in a way that can be affordable even for people with no background in Computational Logics. The domain selected for experimenting OntoScene is that of prehistoric rock art, which provides us with a fascinating and challenging testbed.

Keywords

Prologontologiesmultiagent systemsvisual languagesscene interpretation
Type
Original Article
Information
Theory and Practice of Logic Programming , Volume 20 , Issue 4 , July 2020 , pp. 456 - 511
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Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2020. Published by Cambridge University Press

Footnotes

*

We thank Prof. Henry de Lumley and Annie Echassoux for granting us the permission to reproduce some figures from their book (de Lumley and Echassoux 2011), and Martine Bertéa, Rights Director of CNRS éditions, for helping us in obtaining their permission. We are grateful to Dr. Nicoletta Bianchi for her precious support in the IndianaMAS project and in the activities we faced after its conclusion. Finally, we thank the anonymous reviewers for their thorough reading and for their constructive comments.

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