KeyGraph: A basic tool since 1998

Data visualization: for the creative system design

KeyGraph KeyGraph

We develop processes for analyzing and synthesizing data and humans' ideas on consumers' behaviors, their conversation, earthquakes, medical treatment etc. For reinforcing this process, we have developed technologies to make data and thoughts visible to support the awareness of interesting rare events and their linkage to daily events, so that the rare events can become perceived as chances i.e., uncertain risks or opportunities affecting humans' decision making.


The free software posted below has been developed and used long (developed in 1998, revised every year) for the purposes of sciences and businesses:


We (Ohsawa and collaborators all over the world) are the original creator and the diffuser of KeyGraph(TM), as show by references including (just as a part) (1) through (8) in international publications distributed all over the world. Also researchers are worldwidely citing/using our KeyGraph as (9) to (18).
  • (1) Yukio Ohsawa, Nels E. Benson and Masahiko Yachida, KeyGraph: Automatic Indexing by Co-occurrence Graph based on Building Construction Metaphor, Proc. Advanced Digital Library Conference (IEEE ADL'98), pp.12-18 (1998)
  • (2) Yukio Ohsawa and Masahiko Yachida, Discover Risky Active Faults by Indexing an Earthquake Sequence, in Proc. International Conference on Discovery Science (DS'99), Springer Verlag (1999)
  • (3) Yukio Ohsawa: Chance Discoveries for Making Decisions in Complex Real World, New Generation Computing, Vol.20 No.2 pp.143-163 (2002)
  • (4) Yukio Ohsawa and Hisashi Fukuda: Chance Discovery by Stimulated Group of People - An Application to Understanding Rare Consumption of Food, Journal of Contingencies and Crisis Management Vol.10, No.3, pp.129-138 (2002)
  • (5) Yukio Ohsawa and Peter McBurney, eds. Chance Discovery (edited book), Springer Verlag (2003)
  • (6) Tsuneki Sakakibara, Yukio Ohsawa, Gradual-Increase Extraction of Target Baskets as Preprocess for Visualizing Simplified Scenario Maps by KeyGraph, Journal of Soft Computing Vol.11, No.8, pp.783-790 (2006)
  • (7) Shinichi Goda and Yukio Ohsawa, Estimation of chain reaction bankruptcy structure by Chance Discovery Method ?with time Order Methods and Directed KeyGraph, Journal of Systems Science and Systems Engineering, pp.489-498 (2007)
  • (8) Yukio Ohsawa, Takaichi Ito, and Mayumi I. Kamata, Kamishibai KeyGraph: Tool for Visualizing Structural Transitions for Detecting Transient Causes, New Mathematics and Natural Computation Vol.6, No.2 pp.1-15 (2010)
  • (9) Xavier Llor, a David E. Goldberg, Yukio Ohsawa, et al,Innovation and Creativity support via Chance Discovery, Genetic Algorithms, New Mathematics and Natural Computation, Vol.2, No.1, pp.85-100 (2006) [Related links]
    • (9-1)
    • (9-2)
    • (9-3)
  • (10) Renate Fruchter, Yukio Ohsawa, Naohiro Matsumura: Knowledge Reuse through Chance Discovery from an Enterprise Design-Build Enterprise Data Store, New Mathematics and Natural Computation, Vol. 1, No. 3, pp. 393-- 406, 2005. [A Related link:]
  • (11) Ruediger Oehlmann,Harmony Strategies for Human-Centered Chance Discovery International Journal of Organizational and Collective Intelligence, 2(4), 31-47, October-December 2011
  • (12) Chao-Fu Hong, Hsiao-Fang Yang, Mu-Hua Lin, Geng-Sian Lin, Creative Design by Bipartite KeyGraph Based Interactive Evolutionary Computation Lecture Notes in Computer Science (Springer), Volume 4253, 2006, pp 46-56
  • (13) Kyung-Joong Kim, Myung-Chul Jungm, Sung-Bae Cho: KeyGraph-based chance discovery for mobile contents management system International Journal of Knowledge-based and Intelligent Engineering Systems, Volume 11 Issue 5, Pages 313-320, December 2007 IOS Press Amsterdam, The Netherlands, The Netherlands
  • (14) Tsuda, K., and Thowonmas, R., Visualization of Discussions in Comments of a Blog Entry Using KeyGraph and Comment Scores Proc. 4th WSEAS Int'l Conf. E-Activities 2005, Florida pp.21-26 (2005)
  • (15) Y. Seo, Y. Iwase, Y. Takama, “KeyGraph-based BBS for Online Chance Discovery,” IEEE International Conference on System, Man and Cybernetics (SMC2006), pp. 1754-1758, 2006.10
  • (16)Yasufumi Takama (and Gaku Koinuma VISUAL ANALYSIS OF DISCUSSION FLOW ON KEYGRAPH-BASED BBS New Mathematics and Natural Computation (NMNC), 2010, vol. 06, issue 02, pages 229-245
  • (17) H. Morita, T. Nakahara, "Data mining from photographs using the KeyGraph and genetic algorithms", Journal of Economics, Business and Law, Vol.7, pp.73-85, 2005
  • (18) Morihito Takita, et al, Journal of Clinical Bioinformatics 2011, 1:19 doi:10.1186/2043-9113-1-19


Registered in Japan by Yukio Ohsawa in 2012, widely used in both sciences and businesses all over the world.