A Visual Analysis Tool for Finding Embedded Relations in Chronicles
Mina Akaishi, Makoto Sato, Koichi Hori, Ishikawa · 2012 16th International Conference on Information Visualisation · 2012
A visual analysis method for finding a variety of human networks in chronicles on the basis of different viewpoints is proposed. A vast amount of human experience records is stored all over the world. For understanding and using such chronicles effectively, it is necessary to find several relations embedded in records. In this article, we propose a chronicle analysis tool (CAT), which provides several views of records from different viewpoints. For such purpose, we introduce the notion of chronicle data and a visual analysis framework for embedded relations in chronicles. On the basis of these notions, we describe a chronicle analysis tool and show a variety of historical human networks from different viewpoints as examples of its implementation.