A Visual Analytics System for Supporting Rock Art Knowledge Discovery

被引：0
作者：
Deufemia, Vincenzo [1 ]
Pisano, Valentina Indelli [1 ]
Paolino, Luca [1 ]
De Roberto, Paola [1 ]
机构：
[1] Univ Salerno, Dept Management & Informat Technol, Fisciano, SA, Italy
来源：
COMPUTATIONAL SCIENCE AND ITS APPLICATIONS, PART VI - ICCSA 2014 | 2014年 / 8584卷
关键词：
visual analytics; information visualization; fuzzy analysis; cultural heritage;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This paper presents a visual analytics system, named DARK, for supporting rock art archaeologists in exploring repositories of rock art scenes each consisting of hundreds of petroglyphs carved by ancient people on rocks. With their increasing complexity, analyzing these repositories of heterogeneous information has become a major task and challenge for rock art archaeologists. DARK combines visualization techniques with fuzzy-based analysis of rock art scenes to infer information crucial for the correct interpretation of the scenes. Moreover, the DARK views allow archaeologists to validate their hypothesis against the information stored in the repository.
引用
收藏
页码：466 / 480
页数：15
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