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2016
DOI: 10.1007/978-3-319-46224-0_5
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Neoclassica - A Multilingual Domain Ontology

Abstract: This paper presents an ontology created for classifying and researching material culture and its visual representations, that forms a part of an emerging data-driven research framework on Neoclassicism (ca. 1760-1860). The framework, named Neoclassica, unites a topdown approach to knowledge discovery, represented by the Neoclassicaontology, with innovative methods and techniques for processing multimodal data corresponding with a bottom-up approach. Below we will first describe the Neoclassica framework, discu… Show more

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Cited by 2 publications
(3 citation statements)
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“…A detailed analysis has many facets in the DH and explores different features. An analysis is carried out of the visual features of the furniture and its relation to metadata in an ontology [9]. Gesture and posture analysis within figures in art has been explored by [19].…”
Section: Applications Of Image Processing In Digital Humanitiesmentioning
confidence: 99%
“…A detailed analysis has many facets in the DH and explores different features. An analysis is carried out of the visual features of the furniture and its relation to metadata in an ontology [9]. Gesture and posture analysis within figures in art has been explored by [19].…”
Section: Applications Of Image Processing In Digital Humanitiesmentioning
confidence: 99%
“…The Neoclassica research framework (Donig et al, 2016) was conceived to provide scholars with new instruments and methods for analyzing and classifying artifacts and aesthetic forms from the era of Classicism (ca. 1760Classicism (ca.…”
Section: The Neoclassica Research Frameworkmentioning
confidence: 99%
“…A data-driven bottom-up research routine in the Neoclassica research framework is the main use-case. This research framework is described more extensively by Donig et al [2]. It strives to deliver tools for analyzing the spread of aesthetic forms which are considered as a cultural transfer process.…”
Section: Introductionmentioning
confidence: 99%