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New Technology of Library and Information Service  2013, Vol. Issue (12): 42-47    DOI: 10.11925/infotech.1003-3513.2013.12.07
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Design and Application of the S&T Innovation Group and Environment Ontology
Zhang Pengyi1, Qu Yan2, Huang Chen3
1. Department of Information Management, Peking University, Beijing 100871, China;
2. placenous.com, Hamden, CT 06518, USA;
3. College of Information Studies, University of Maryland, College Park, MD 20742, USA
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Abstract  In order to help innovation researchers to study the complex and dynamic Innovation Eco-system,this paper introduces the design and application of the S&T innovation and environment Ontology. Ontology modeling methods are used to analyze the concept and product groups, individuals and organizations that play key roles in innovations' evolvement, and the dynamic interactions among innovations and the key actors. Results suggest that the Ontology is able to empower innovation research by supporting analysis of innovation researchers and policy makers including relationship analysis and trend analysis.
Key wordsScience and technology innovations      Knowledge base      Ontology      Knowledge organization     
Received: 29 August 2013      Published: 08 January 2014
:  G250.74  

Cite this article:

Zhang Pengyi, Qu Yan, Huang Chen. Design and Application of the S&T Innovation Group and Environment Ontology. New Technology of Library and Information Service, 2013, (12): 42-47.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2013.12.07     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2013/V/I12/42

[1] Ogle R. Smart World: Breakthrough Creativity and the New Science of Ideas[M].Boston, MA: Harvard Business School Press, 2007.
[2] 傅家骥.技术创新学[M].北京:清华大学出版社, 1998:195-224. (Fu Jiaji. Technological Innovation[M]. Beijing: Tsinghua University Press, 1998: 195-224.)
[3] Wang P. Popular Concepts Beyond Organizations: Exploring New Dimensions of Information Technology Innovations[J]. Journal of the Association for Information Systems, 2009, 10(1):1-30.
[4] Zhang P, Qu Y, Huang C. Designing a Multi-layered Ontology for the Science and Technology Innovation Concept Knowledge-Base[C]. In: Proceedings of the 44th Hawaii International Conference on System Sciences (HICSS'11). Washington, DC: IEEE Computer Society, 2011: 1-10.
[5] Rogers E M. Diffusion of Innovations[M].The 5th Edition.New York: The Free Press, 2003.
[6] Schumpeter J A. The Theory of Economic Development: An Inquiry into Profits, Capital, Credit, Interest, and the Business Cycle[M]. Transaction Publishers, 1934.
[7] Kimberly J R. The Organizational Context of Technological Innovation[A].//Davis K D D and Associates. Managing Technological Innovation[M]. San Francisco, CA: Jossey-Bass, 1986.
[8] Wolfe R A. Organizational Innovation: Review, Critique and Suggested Research[J]. Journal of Management Studies, 1994, 31(3):405-431.
[9] Kline S J. Innovation is not a Linear Process[J]. Research Management, 1985, 28(4):36-45.
[10] Bhidé A. The Venturesome Economy: How Innovation Sustains Prosperity in a More Connected World[M]. Princeton, NJ: Princeton University Press, 2008.
[11] 郑胜利. 企业集群与企业技术创新[J]. 贵州财经学院学报, 2003(1):52-56.(Zheng Shengli. Enterprise Cluster and Technological Innovation[J]. Journal of Guizhou College of Finance and Economics, 2003(1):52-56.)
[12] Sun J, Wang P. Community Ecology for Innovation Concept: The Case of Cloud Computing[C].In: Proceedings of the 33rd International Conference on Information Systems (ICIS'12), Orlando, FL, USA.
[13] Fonseca F. The Double Role of Ontologies in Information Science Research: Research Articles[J]. Journal of the American Society for Information Science and Technology, 2007, 58(6):786-793.
[14] Horrocks I. Ontologies and the Semantic Web[J]. Communications of the ACM, 2008, 51(12):58-67.
[15] Riedl C, May N, Finzen J, et al. An Idea Ontology for Innovation Management[J]. International Journal on Semantic Web and Information Systems, 2009, 5(4):1-18.
[16] 杨洁, 杨育, 赵川, 等.产品创新设计中基于本体理论的客户知识集成技术研究[J]. 计算机集成制造系统, 2009, 15(12):2303-2311.(Yang Jie, Yang Yu, Zhao Chuan, et al. Integrated Technology of Customer Knowledge in Collaborative Product Innovation Based on Ontology Theory[J]. Computer Integrated Manufacturing Systems, 2009, 15(12):2303-2311.)
[17] 刘军, 牛争艳. 科技文献共享服务平台科技创新决策分析服务系统的研究与应用[J]. 情报科学, 2013, 31(8):81-83, 89.(Liu Jun, Niu Zhengyan. Research and Application of Sci-tech Innovation Decision Analysis Service in Sci-tech Document Sharing Service Platform[J]. Information Science, 2013, 31(8):81-83, 89.)
[18] 彭润华, 阳震青.科技创新型企业知识管理研究[J]. 企业经济, 2009(3):42-44.(Peng Runhua, Yang Zhenqing. Organization Knowledge Management in Technological Innovation Enterprises[J]. Enterprise Economy, 2009(3):42-44.)
[19] Gennari J H, Musen M A, Fergerson R W, et al. The Evolution of Protégé: An Environment for Knowledge-based Systems Development[J]. International Journal of Human-Computer Studies, 2009, 58(1): 89-123.
[20] 何琳, 杜慧平, 侯汉清.领域本体的半自动构建方法研究[J]. 图书馆理论与实践, 2007 (5): 26-27, 38.(He Lin, Du Huiping, Hou Hanqing. Semi-automated Methods for Domain Ontology Construction[J].Library Theory and Practice, 2007 (5): 26-27, 38.)
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