OntoScene, A Logic-Based Scene Interpreter: Implementation and Application in the Rock Art Domain. Issue 4 (15th July 2020)

• Record Type: Journal Article
• Authors: BRIOLA, DANIELA; MASCARDI, VIVIANA; GIOSEFFI, MASSIMILIANO
• Is Part Of: Theory and practice of logic programming. Volume 20:Issue 4(2020)
• Page Start: 456
• Page End: 511
• Publication Date: 2020-07-15
• Subjects: Prolog, -- ontologies, -- multiagent systems, -- visual languages, -- scene interpretation; Logic programming -- Periodicals; Artificial intelligence -- Computer programs -- Periodicals; Constraint programming (Computer science) -- Periodicals; 005.115
• DOI: 10.1017/S1471068419000462
• Languages: English
• ISSNs: 1471-0684

Abstract

Abstract: 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.