A construction method of organizational knowledge structure andits applications in the patent documents

Qiu Jiangnan; Nian Chuangling

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Science Research Management ›› 2012 ›› Issue (8) : 48-56.

A construction method of organizational knowledge structure andits applications in the patent documents

Qiu Jiangnan, Nian Chuangling

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Abstract

Organizational knowledge structure reflects the basic composition of organizational knowledge and mutual relationships between its knowledge. At present, scholars have paid little attention to the construction methods of organizational knowledge structure. The organizational knowledge structure is defined from both macro and micro levels, and text mining based construction method of organizational knowledge structure is studied in the field of patent documents. Firstly, knowledge elements are extracted from patent documents. Secondly, a hierarchical clustering solution for these knowledge elements is implemented based on Hierarchical Agglomerative Clustering (HAC) algorithm. Thirdly, organizational knowledge structure is formed based on visualization methods. Finally, the construction methods of organizational knowledge structure proposed are validated by processing patent documents of an organization and the good performance is achieved.

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organizational knowledge structure / patent document / knowledge element / HAC algorithm

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Qiu Jiangnan, Nian Chuangling. A construction method of organizational knowledge structure andits applications in the patent documents[J]. Science Research Management. 2012(8): 48-56

References

[1] 贾生华, 邬爱其. 企业成长的知识结构模型及其启示[J]. 科研管理, 2003, 24(2): 83-88.
[2] Sulin Ba, Karl R. Lang, Andrew B. Whinston. Compositional Enterprise Modeling and Decision Support[J]. Information Systems and E-Business Management, 2008, 6(2): 137-160.
[3] 孙剑斌, 张朋柱. 基于知识网络的科研人员知识结构可视化[J]. 情报科学, 2010, 28(3): 395-399, 480.
[4] 席运江, 党延忠. 基于加权知识网络的个人及群体知识结构分析方法[J]. 管理工程学报, 2008, 22(3): 1-4, 35.
[5] 王君, 樊治平. 一种基于有向无环图的组织知识度量模型[J]. 系统工程, 2002, 20(5): 22-27.
[6] Lyles, Marjorie A., Charles R. Schwenk. Top Management, Strategy, and Organizational Knowledge Structures[J]. Journal of Management Studies, 1992(29): 155-174.
[7] Margaret DeLaney Gorman, David R. Schwandt. Relationship of Collective Knowledge Structures Concerning Transformational Change to Learning and Performing Actions. The Sixth European Conference on Organizatioanl Knowledge, Learning, & Capability. Bentley College, Waltham Massachuesetts, USA, 2005: 17-19.
[8] Nicolai J. Foss, Torben Pedersen. The MNC as a Knowledge Structure: The Roles of Knowledge Sources and Organizational Instruments in MNC Knowledge Management[J]. Danish Research Unit for Industrial Dynamics, 2003(5): 1-33.
[9] 曹兴, 向志恒. 技术核心能力形成的企业知识结构分析[J]. 科学学与科学技术管理, 2007(8): 97-102.
[10] Leonard-Barton D. Wellsprings of knowledge: Building and sustaining the sources of innovation[M]. Harvard Business School Press, Boston: Massachusetts, 1995.
[11] 俞金田. 企业的知识构成、测评及管理探讨[J]. 研究与发展管理, 2002(12): 59- 62.
[12] 曹兴, 李瑞, 程小平, 彭耿. 企业知识结构及其优化机制[J]. 科学管理研究, 2006, 24(6): 69-73.
[13] 李秀波. 企业知识结构的进化与创新能力分析[J]. 管理探索, 2009(8): 12-13.
[14] 吴迪. 习惯领域理论与企业知识结构分析[J]. 科研管理, 2004, 25(4): 33-36.
[15] 张晓玲, 王文平, 陈森发. 关于企业知识结构体系的构成、演化与组织学习的研究[J]. 大连理工大学学报(社会科学版), 2006, 27(4): 23-28.
[16] 张晓玲, 王文平, 陈森发. 基于知识结构的组织智商研究[J]. 科研管理, 2005, 26(5): 56-61.
[17] 包振强, 王宁生. 基于知识树的组织知识管理初探[J]. 科研管理, 2003, 23(1): 58-62.
[18] 应力, 钱省三. 企业知识体系分析[J]. 研究与发展管理, 2001, 13(5): 13-17, 47.
[19] 王开明, 万君康. 企业战略理论的新发展: 资源基础理论[J]. 科技进步与对策, 2001(1): 131-132.
[20] C. H. Wu. Building knowledge structures for online instructional/learning systems via knowledge elements interrelations[J]. Expert Systems with Applications, 2004(26): 311-319.
[21] 王众托. 知识系统工程[M]. 北京:科学出版社, 2004: 65-65.
[22] 温有奎, 徐国华. 知识元链接理论[J]. 情报学报, 2003, 22(6): 665-670.
[23] Margarita S, Matvey B P. Grouped knowledge elements [J]. Clinical Demission Support, 2007: 325-343.
[24] Kuanjiu Zhou, Lei Wang, Peng Qiu. Ontology Construction from Semi-Structured Text. IEEE, 2008: 1-4.
[25] 仲云云, 侯汉清, 杜慧平. 电子政务主题词表的自动构建研究[J]. 中国图书馆学报(双月刊), 2008(3): 97-102.
[26] Jian-hua Yeh, Naomi Yang. Ontology Construction Based on Latent Topic Extraction in a Digital Library. Proceedings of the 11th International Conference on Asian Digital Libraries, 2008: 93-103.
[27] Yuen-Hsien Tseng, Chi-Jen Lin, Yu-I Lin. Text mining techniques for patent analysis [J]. Information Processing and Management, 2007(43): 1216-1247.
[28] 孙倩, 万建成. 基于叙词表的领域本体构建方法研究[J]. 计算机工程与设计, 2007, 28(20): 5054-5056.
[29] 贾秀玲, 文敦伟. 一种本体学习中分类关系提取方法的研究[J]. 计算机技术与发展, 2007, 17(10): 31-33, 36.