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iSPOT / Digital data managing system

iSPOT
iSPOT

Along with advances in technology, the type and amount of digital data have been increasing constantly. However, the inconvenience of the organizing system, which has unnaturally named files organized by the tree-structure, often leads the searching attempt to a dead end. iSPOT is a new data managing system based on the human cognitive model. In this system, four types of metadata, Space; Person; Object and Time information, are automatically extracted from the data. These SPOT criteria can be embedded in various platforms including mobile, PC software or web service, and will improve its usability enabling the user to spot any data easily.

University

KAIST, Chung-ang University, Yonsei University

KAIST, Chung-ang University, Yonsei University
Seoul, South Korea

Sungjoon Kim

Design

KAIST, Chung-ang University, Yonsei University

KAIST, Chung-ang University, Yonsei University
Seoul, South Korea

Sungjoon Kim