A decision data support mode suited to commander's associative think pattern
Xin Jin, Jingjing Yan, Wei-Tal Liang, You-Jiang Li · 2012
Military decision is a highly complicated process, in which commander needs to find relations from great amount of data so as to realize the situation. On decision data support, traditional taxonomy and keyword based modes depend on user skills and provide poor support to human associative think pattern. As a complement, a relation-based mode and its realization methods are proposed. Data relations are extracted in a semi-automatic method and stored as RDF (Resource Description Framework) triples, then visualized on user interface as hyperlinks. It is shown that this mode suits better to commander's associative think pattern, and has lower user skill requirement.