Visual analysis for voting relationships in Joseon Dynasty, Korea

Seongmin Mun, Gyeongcheol Choi, Sangkuk Lee, Kyungwon Lee

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

History studies involve discovering new facts based upon the records as well as understanding relationships between historic events and figures. However, a vast amount of resources, background knowledge and time would be required for empirical historical research. The Genealogy of the Kwon family and Annals of the Joseon Dynasty, both of which are applied in this study, are particularly difficult to comprehend without sufficient knowledge about their terminologies and backgrounds. However, a vast amount of resources, background knowledge, and time would be required for empirical historical research. On the other hand, visual analysis enables users to easily understand information and the relationships between data. We propose an analysis method that visually describes voting relationships based on historical records, for a clear and cognitively beneficial understanding (URL: http://202.30.24.167:3008/bubble). Our visualization method is divided into two parts: First, it refines the database by selected options, such as by color and category. In the second part, users can confirm the details of this result with a bubble graph. These two parts are synchronized and describe the differences results based on the user's selection. In a case study of users' feedback and expert opinions, we verified the effectiveness and usability of our visualization method.

Original languageEnglish
Title of host publicationProceedings of the International Conference on ICT, Society and Human Beings 2017 - Part of the Multi Conference on Computer Science and Information Systems 2017
EditorsPiet Kommers, Luis Rodrigues
PublisherIADIS
Pages111-118
Number of pages8
ISBN (Electronic)9789898533678
StatePublished - 2017
Event10th International Conference on ICT, Society and Human Beings - Lisbon, Portugal
Duration: 20 Jul 201722 Jul 2017

Publication series

NameProceedings of the International Conference on ICT, Society and Human Beings 2017 - Part of the Multi Conference on Computer Science and Information Systems 2017

Conference

Conference10th International Conference on ICT, Society and Human Beings
Country/TerritoryPortugal
CityLisbon
Period20/07/1722/07/17

Keywords

  • Bubble-graph
  • Historical data mining
  • Joseon-Dynasty
  • Visualization
  • Voting relationship

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