CULTO: AN ONTOLOGY-BASED ANNOTATION TOOL FOR DATA CURATION IN CULTURAL HERITAGE

被引:20
|
作者
Garozzo, R. [1 ]
Murabito, F. [2 ]
Santagati, C. [1 ]
Pino, C. [2 ]
Spampinato, C. [2 ]
机构
[1] Univ Catania, Dept Civil Engn & Architecture, Via Santa Sofia 64, I-95123 Catania, Italy
[2] Univ Catania, Dept Elect Elect & Comp Engn, Via Santa Sofia 64, I-95123 Catania, Italy
关键词
Machine learning; H-BIM; Information retrieval; Digital Cultural Heritage; Semantic 3D data modeling;
D O I
10.5194/isprs-archives-XLII-2-W5-267-2017
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
This paper proposes CulTO, a software tool relying on a computational ontology for Cultural Heritage domain modelling, with a specific focus on religious historical buildings, for supporting cultural heritage experts in their investigations. It is specifically thought to support annotation, automatic indexing, classification and curation of photographic data and text documents of historical buildings. CULTO also serves as a useful tool for Historical Building Information Modeling (H-BIM) by enabling semantic 3D data modeling and further enrichment with non-geometrical information of historical buildings through the inclusion of new concepts about historical documents, images, decay or deformation evidence as well as decorative elements into BIM platforms. CulTO is the result of a joint research effort between the Laboratory of Surveying and Architectural Photogrammetry "Luigi Andreozzi" and the PeRCeiVe Lab (Pattern Recognition and Computer Vision Lab) of the University of Catania,
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页码:267 / 274
页数:8
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