Knowledge Map in Japan

Transcription

1 Knowledge Map in Japan Yusuke Naito Artificial Life Laboratory, Inc. 7/19/2013 Yusuke Naito 1

2 Visualize Current Knowledge Source Sommelier Tools for Science Technology Innovation Policy Japanized Science for Science Policy of MEXT(Ministry of Education, Culture, Sports, Science and Technology) funded Visualize Knowledge Source Patent inventors and applicants Article authors and their affiliates Distribution in GIS depends on classification Links in co-authoring, co-invention, co-application, citation Platform for policy planner, policy evaluator, and technology management Discussing about education for Innovation Sommelier Implement as Sommelier Tools 7/19/2013 Yusuke Naito 2

3 Purpose Visualize Spatial Distribution of Science and Innovation What kind of knowledge sources exist and distribute? Visualize Network of Science and Innovation Connections between individuals (paper authors or inventors), Institutes, Universities and Corporations Analyze and Evaluate the local network under area restriction For creating future industry 7/19/2013 Yusuke Naito 3

4 Methods inventor Viewer Operation target classifications IPC conditions View by prefecture and classification 8 prioritized area 1st major and detail classifications 2nd classifications app year prefecture applicant Ignore classifications Key words Employee Sales in 100 billion yen Productivity of 100billion yen per person 1st classification 2nd classification both person organization Listing names (top 100 when classification effective) Patents are applied after Size of corporation - Sales and Employee effective when applicant selected. Multiple prefecture selected where selection with shift key. 7/19/2013 Yusuke Naito 4

5 Data as Evidence of Science, Technology and Industry Patents Patent Database for Research by Alife-lab(Artificial Life laboratory, Inc.) Originated from JPO(Japan Patent Office) patent documents Articles of academic journals, proceedings of academic conferences Database in JST(Japan Science and Technology Agency) Link to J-Global Web of Science Scopus GIS(Geographic Information System) All address changings collected by Alife-lab Latitude and longitude data by MLIT(Ministry of Land, Infrastructure, Transport and Tourism) Firms Dow Jones FACTIVA 7/19/2013 Yusuke Naito 5

6 Authors and Inventors Japanese expression of name Kanji characters Matching in family name and personal name Address as affiliates Might be own house address Uniqueness by concatenating name and address Avoid from John Smith problem Authors JST solution Inventors simple matching 7/19/2013 Yusuke Naito 6

7 Affiliation and Applicants Affiliation Ambiguity in address of author Not exists if individual address Applicants Multiple applicants may exists in on patent Firms Matching in Japanese and English by Alife-lab Covers 99% of listed in stock market 7/19/2013 Yusuke Naito 7

8 Distribution in whole country map (patent only) 7/19/2013 Yusuke Naito 8

9 Distribution in Kyoto Map Electronics and Medicine patents Kyoto Inventor 7/19/2013 Yusuke Naito 9

10 Location of Applicant Electronics and Medicine patents Kyoto Applicant 7/19/2013 Yusuke Naito 10

11 Link to J-GLOBAL 7/19/2013 Yusuke Naito 11

12 Co-application network and citation network in map Co-application Citation 7/19/2013 Yusuke Naito 12

13 Example of evaluation Sapporo BIO-Cluster Bio-S From FY 2007 to 2011 Development of functional foods, materials for medicines and cosmetics, arranging those infrastructure and constructing systems Participants 8 Universities Hokkaido Univ., Sapporo Medical Univ., Asahikawa Medical Univ., Hokkaido Information Univ., Teikyo Univ., Tottori Univ., Health Science Univ. of Hokkaido, Rakuno Gakuen Univ. 5 firms Mitsubishi Chemical Medience, Amino Up Chemical, Cosmo Bio Co., Atto Corporation, Goryo Chemical 7/19/2013 Yusuke Naito 13

14 Evaluation report by MEXT 1. Total Score A 2. Score of Enterprise Plan Acievment of Cluster Development A Extension,internationalizat ion and cooperation with related policy B Enterprise Strategy A IP Strategy A Education Strategy B Establishment of promotion A 3. Score of R & D R & D planning A R & D progress A Enterprise feasibility A 7/19/2013 Yusuke Naito 14

15 Example of evaluation Co-application with Prof. Nishidaira of Hokkaido Info. Univ. Applicants Life Science From 2007 to 2011 Prefecture: Hokkaido Hokkaido Univ. as core organization of Bio-S Co-application with Atto Corporation 7/19/2013 Yusuke Naito 15

16 Example of evaluation Mitsubishi chemical medience Applicant Co-applications No link with Bio-S 7/19/2013 Yusuke Naito 16

17 Example of planning Applicants in two classifications area Electronics Medicines Inside of Kyoto After 2000 Distribution in Map 7/19/2013 Yusuke Naito 17

18 Example of planning Kyocera Corporation Co-application with 111 applicants 7/19/2013 Yusuke Naito 18

19 Summary Data base usage made of plural sources Patents, Articles, GIS and firms data Seeking the best mix for Science for science policy Connection in Knowledge Co-application and co-invention in patents as collaboration Whole country rather than cluster in prefecture Location dependency Only address and affiliation Combination of classification might be useful for policy plan Overlap in local area 7/19/2013 Yusuke Naito 19

20 Future work Join user defined data set to data base Evaluate case of policy and its result Virtual combination for planning Progress report Historical data of particular fields Growth model of new technology From knowledge flow to product flow Causal network as citation Flow network as collaboration 7/19/2013 Yusuke Naito 20