Electronic support for knowledge creation in a research institute

Abstract

This paper focuses on the question how to build an electronic support environment for knowledge creation in a research institute (JAIST). In order to assess the importance of diverse conditions of scientific creativity, we performed a survey in JAIST, and extracted useful knowledge from the database of survey results. Following the analysis of the theory of academic processes of knowledge creation and the survey findings in JAIST, a computer-based integrated system is proposed. In the aspect of the system design, we postulate that an electronic support environment for academic creativity can be achieved through a seamless integration with Internet, Application Server, Middle Ware, Database and Data Warehouse. The paper addresses issues of knowledge representation in the Electronic Support System for academic research, testing and evaluation issues and conclusions.

Keywords

Electronic support / software system / knowledge creation

References

[1] Alexaki, S. (2006). The RDF schema specific database (RSSDB). http://www.w3.org/2001/05/rdf-ds/DataStore

[2] Brickley, D. & Miller, L. (2006). RDF, SQL and the semantic web — a case study. http://ilrt.org/discovery/2000/10/swsql

[3] Cox B. J., Novobilski A. J.. Object-Oriented Programming: An Evolutionary Approach, 1991, 2 MA: Addison-Wesley

[4] Dieng R., Corby O.. Knowledge Engineering and Knowledge Management: Methods, Models and Tools, 2000, Berlin-Heidelberg: Springer Verlag

[5] Dreyfus H., Dreyfus S.. Mind over Machine: the Role of Human Intuition and Expertise in the Era of Computers, 1986, New York: Free Press

[6] Fitzgerald M.. Building B2B Applications with XML, 2001, New York: John Wiley and Sons

[7] Gadamer H.G.. Warheit und Methode. Grundzüge einer philosophishen Hermeneutik, 1960, Tübingen: J.B.C. Mohr (Siebeck)

[8] Gasson, S. (2004). The management of distributed organizational knowledge. Sprague RJ (ed) Proceedings of the 37th Hawaii International Conference on Systems Sciences (CD/ROW). IEEE Computer Society Press

[9] Grahne G., Kiricenko V.. Towards an algebraic theory of information integration. Information and Computation, 2005, 194(2): 79-100.

[10] Heery, R. & Wagner, H. (2002). A metadata registry for the semantic web. D-Lib Magazine, 8 (5)

[11] Heyer L.J., Kruglyak S., Yooseph S.. Exploring expression data: identification and analysis of coexpressed genes. Genome Research, 1999, 9(11): 1106-1115.

[12] InfoTrends/CAP Ventures (2004). A focus on XSLT 2.0: understanding the development and business benefits. http://www.capv.com/home/Downloads/10.22.04.pdf

[13] Karvounarakis, G., Alexaki, S. & Scholl, M. (2006). RQL: adeclarative query language for RDF. http://www.ics.forth.gr/ isl/publications /paperlink/www2002.pdf

[14] Król Z.. Wierzbicki A.P., Nakamori Y.. The emergence of complex concepts in science. Creative Environments: Issues of Creativity Support for the Knowledge Civilization Age, 2007, Berlin-Heidelberg: Springer Verlag

[15] Kunifuji, S. (2004). Creativity support systems in JAIST. Proceedings of JAIST Forum 2004: Technology Creation Based on Knowledge Science, 56–58

[16] Ma T.J., Nakamori Y.. Roadmapping and i-Systems for supporting scientific research. International Journal of Knowledge and Systems Sciences, 2005, 2(1): 66-73.

[17] Madhusudan T.. An intelligent mediator-based framework for enterprise application integration. Journal of Computing and Information Science in Engineering, 2004, 12(4): 294-304.

[18] Nakamori, Y. (2004). Technology creation based on knowledge science. Proceedings of the First International Symposium on Knowledge Management for Strategic Creation of Technology, 1–10

[19] Nonaka I., Takeuchi H.. The Knowledge Creating Company: How Japanese Companies Create the Dynamics of Innovation, 1995, New York: Oxford University Press

[20] Punin, J. (2006). RDF parser based on expat and SiRPAC. http://www.w3.org/Library/src/HTRDF.html

[21] Ren, H.T. & Wierzbicki, A. (2006). Implementing creativeenvironments. for scientifc research. International Journal of Knowledge and Systems Sciences, to be published

[22] Ren, H.T., Tian, J., Nakamori, Y. & Wierzbicki, A.P. (2006). Electronic support for knowledge creation in a research institute. Proceedings of the Knowledge and Systems Sciences: Towards Knowledge Synthesis and Creation, 55–62

[23] Szyperski C., Messerschmitt D.. Software Ecosystem: Understanding an Indispensable Technology and Industry, 2003, Cambridge: MIT Press

[24] Tian, J. & Nakamori, Y. (2005). Knowledge management in scientific laboratories: a survey-based study of a research institute. Proceedings of the Second International Symposium on Knowledge Management for Strategic Creation of Technology, 19–26

[25] Tian J., Wierzbicki A.P., Ren H.T., Nakamori Y.. A study of knowledge creation support in Japanese Research Institute. International Journal of Knowledge and Systems Sciences, 2006, 3(1): 7-17.

[26] Tian, J., Wierzbicki, A.P., Ren, H.T. & Nakamori, Y. (2007). Ontology of the 21th century COE program technology creation based on knowledge science and Its applications. International Symposium on Knowledge and Systems Science 2007, to appear

[27] Wang, Z.T. (2001). Multidisciplinary view of knowledge technology. Proceedings of International Symposium on Knowledge and Systems Sciences, 17–19

[28] Wang Z.T.. Knowledge systems engineering: a new discipline of knowledge management and enabling. International Journal of Knowledge and Systems Sciences, 2004, 1(1): 10-16.

[29] Wierzbicki A.P., Nakamori Y.. Creative Space: Models of Creative Processes for the Knowledge Civilization Age, 2006, Berlin-Heidelberg: Springer Verlag.

[30] Wierzbicki, A.P. & Nakamori, A.P. (2006b). Nanatsudaki model of knowledge creation processes. VEAM_IFIP Working Group 7.6 Workshop on Virtual Environments for Advanced Modeling

[31] Wierzbicki A.P.. Knowledge creation theories and rational theory of intuition. International Journal of Knowledge and Systems Sciences, 2004, 1(1): 17-25.

[32] Wierzbicki A.P., Nakamori Y.. Creative space: a tool for knowledge integration. International Journal of Knowledge and Systems Sciences, 2004, 1(1): 26-32.