Representing symbol grounding is a recurrent subject of discussion in knowledge-based vision syst... more Representing symbol grounding is a recurrent subject of discussion in knowledge-based vision systems. The emph{symbol grounding problem} refers to the issue of connecting symbols of a symbol system to their low-level projections within perceptual input. In this paper, we present our ongoing efforts in formalizing an ontologically-founded, domain-independent visual knowledge model that allows one to represent the grounding relation between high-level domain entities and basic image features of 2-D line charts. The characterization of the grounding relations according its ontological status should provide a better criteria in deciding which domain entities can be grounded, improving reusability of our model in multiple interpretation domains and better structuring of the grounding relations. Additionally, we present an algorithm for visual interpretation using the proposed model. The framework of models and algorithm has been implemented in a visual interpretation system for Geology domain. One test case is shown as running example.
This paper presents the S-Chart framework, an approach for semantic image interpretation of line ... more This paper presents the S-Chart framework, an approach for semantic image interpretation of line charts; and the InteliStrata system, an application for semantic interpretation of gamma ray profiles. The S-Chart framework is structured as a set of knowledge models and algorithms that can be instantiated to accomplish chart interpretation in all sorts of domains. The knowledge models are represented in
In the last few years, we have analyzed the best alternatives for acquiring and processing visual... more In the last few years, we have analyzed the best alternatives for acquiring and processing visual knowledge with the goal of supporting problem solving. We call visual knowledge the set of mental models that support the process of reasoning over information that comes from the spatial arrangement and visual aspects of entities. Also, visual knowledge is implicit, meaning that it is difficult to be explicitly represented solely with propositional constructs. In this paper, we describe a representational approach that helps geologists in capturing and applying this kind of knowledge, in order to support software development applied to interpretation tasks in Petroleum Geology applications. Our approach combines propositional constructs with visual pictorial constructs in order to model visual knowledge of geologists. These constructs are proposed in a strong formal model, founded by Formal Ontology concepts. Based on these constructs, we develop a full ontology for stratigraphic description of sedimentary facies. The Formal Ontology background and the approach are detailed and evaluated through the paper.
Representing symbol grounding is a recurrent subject of discussion in knowledge-based vision syst... more Representing symbol grounding is a recurrent subject of discussion in knowledge-based vision systems. The emph{symbol grounding problem} refers to the issue of connecting symbols of a symbol system to their low-level projections within perceptual input. In this paper, we present our ongoing efforts in formalizing an ontologically-founded, domain-independent visual knowledge model that allows one to represent the grounding relation between high-level domain entities and basic image features of 2-D line charts. The characterization of the grounding relations according its ontological status should provide a better criteria in deciding which domain entities can be grounded, improving reusability of our model in multiple interpretation domains and better structuring of the grounding relations. Additionally, we present an algorithm for visual interpretation using the proposed model. The framework of models and algorithm has been implemented in a visual interpretation system for Geology domain. One test case is shown as running example.
This paper presents the S-Chart framework, an approach for semantic image interpretation of line ... more This paper presents the S-Chart framework, an approach for semantic image interpretation of line charts; and the InteliStrata system, an application for semantic interpretation of gamma ray profiles. The S-Chart framework is structured as a set of knowledge models and algorithms that can be instantiated to accomplish chart interpretation in all sorts of domains. The knowledge models are represented in
In the last few years, we have analyzed the best alternatives for acquiring and processing visual... more In the last few years, we have analyzed the best alternatives for acquiring and processing visual knowledge with the goal of supporting problem solving. We call visual knowledge the set of mental models that support the process of reasoning over information that comes from the spatial arrangement and visual aspects of entities. Also, visual knowledge is implicit, meaning that it is difficult to be explicitly represented solely with propositional constructs. In this paper, we describe a representational approach that helps geologists in capturing and applying this kind of knowledge, in order to support software development applied to interpretation tasks in Petroleum Geology applications. Our approach combines propositional constructs with visual pictorial constructs in order to model visual knowledge of geologists. These constructs are proposed in a strong formal model, founded by Formal Ontology concepts. Based on these constructs, we develop a full ontology for stratigraphic description of sedimentary facies. The Formal Ontology background and the approach are detailed and evaluated through the paper.
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