Ontology for Imagistic Domains: Combining Textual and Pictorial Primitives

Lorenzatti, Alexandre; Abel, Mara; Nunes, Bruno Romeu; Scherer, Claiton Marlon dos Santos

doi:10.1007/978-3-642-04947-7_21

Cited by 8 publications

(3 citation statements)

References 6 publications

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“…Figure 1 presents an example of a well core, emphasizing two distinct sedimentary facies. Figure 1: a well core, emphasizing two distinct sedimentary facies (adapted from (Lorenzatti et al, 2009)).…”

Section: Sedimentary Stratigraphymentioning

confidence: 99%

A Cognition-inspired Knowledge Representation Approach for Knowledge-based Interpretation Systems

Carbonera

Abel

2015

Proceedings of the 17th International Conference on Enterprise Information Systems

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We propose a hybrid approach for knowledge representation that combines classic representations (such as rules and ontologies) with cognitively plausible representations, such as prototypes and exemplars. The resulting framework can be used for developing knowledge-based systems that combine knowledge-driven and data-driven techniques. We also present how this approach can be used for developing an application for interpretation of depositional processes in Petroleum Geology.

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Section: Sedimentary Stratigraphymentioning

confidence: 99%

A Cognition-inspired Knowledge Representation Approach for Knowledge-based Interpretation Systems

Carbonera

Abel

2015

Proceedings of the 17th International Conference on Enterprise Information Systems

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“…Image processing and analysis methods [132][133][134][135] and pattern classification techniques [136] can be used in this regard. Other related proposals aiming to create shape ontologies, following different directions to ours, have been recently published [137,138]. Different approaches include qualitative spatial reasoning [139,140].…”

Section: An Approach For Creating Taxonomies Of Shapes and Graphical mentioning

confidence: 99%

Biomedical Ontologies: Toward Scientific Debate

Maojo¹,

Crespo²,

García-Remesal³

et al. 2011

Methods Inf Med

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“…In this context, geometry-based descriptions can provide a broad set of theories, methods, and tools to efficiently manage the visual information related to shapes. Shape and geometric classic ontologies have been applied to a number of different domains, such as bird classification, 19 engineering processes, 20,21 or imaging 22 and visual reasoning, 23 with limited success. Classical approaches to describe shapes through textual descriptions cannot deal efficiently with the graphical, visual information that shapes imply, typically losing the geometric formality inherent to shapes that could provide quantitative measures together with current laboratory instrumentation, measurement techniques, or computational methods.…”

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confidence: 99%