A Visual Analytics System for Supporting Rock Art Knowledge Discovery
作者： Vincenzo Deufemia , Valentina Indelli Pisano , Luca Paolino , Paola de Roberto
DOI: 10.1007/978-3-319-09153-2_35
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摘要: This paper presents a visual analytics system, named DARK, for supporting rock art archaeologists in exploring repositories of scenes each consisting hundreds petroglyphs carved by ancient people on rocks. With their increasing complexity, analyzing these heterogeneous information has become major task and challenge archaeologists. DARK combines visualization techniques with fuzzy-based analysis to infer crucial the correct interpretation scenes. Moreover, views allow validate hypothesis against stored repository.
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