The Application of Patent Co-Word Map Analysis in Technical Knowledge Disclosure

Document Type : Research َ Article

Authors

Abstract

Purpose: The application ofpatent co-word map analysis in disclosure of technical knowledge associated with the electrical field of Autonomous Underwater Vehicle (AUV).
Methodology: It is a descriptive research. The co-word analysis technique is used to map AUV and Delphi method to obtain experts’ views. The patents containing the term “Autonomous Underwater Vehicle” were retrieved from Google patent and Lens. To find related patents, keyword and class were searched together. Finally, 223 patents were retrieved.
Results: Subjective maps help in better understanding and act as an introduction to electrical aspects of AUV. To experts with a previous knowledge of the field, the maps can be used as a starting point to learn technical knowledge. Also, the maps can be useful if they turn to a road map, otherwise they are not applicable in promoting experts’ knowledge.
Conclusion: Maps derived from co-word analysis must be regarded from two viewpoints of novices and experts.

Keywords


توکلی‌زاده ‌راوری، محمد (1394). مدل دو مرحله‌ای شکاف- گلچین برای نمایه‌سازی خودکار متون فارسی. تحقیقات اطلاع‌رسانی و کتابخانه‌های عمومی 21 (80)، 13-40.
توکلی‌زاده‌راوری، محمد (1393). راور ماتریس: نرم افزار ایجاد ماتریس هم‌رخدادی (نسخه رایگان دوم) [نرم‌افزار رایانه]. یزد: دانشگاه یزد.
Abbas, A.; Zhang, L., & Khan, S. U. (2014). A literature review on the state-of-the-art in patent analysis. World Patent Information, 30 (1), 3-13.
Assefa, S. G., & Rorissa, A. (2013). A bibliometric mapping of the structure of STEM education using co-word analysis. Journal of the American Society for Information Science and Technology, 64 (12), 2513-2536.
Blackman, M. (1995). Provision of patent information: a national patent office perspective. World Patent Information, 17 (2), 115-123.
Bredillet, C. N. (2006) The Future of Project Management: Mapping the dynamics of Project Management Field in Action. In Cleland, David I. & Gareis, Roland (Eds.) Global project management handbook: planning, organizing and controlling International Projects, Second Edition: Planning, Organizing, and Controlling International Projects. New York: McGraw-Hill, Inc.
Constantine, L. S. (2014). Understanding the linkages in organizational and human relations: a review of social network analysis. The Qualitative Report, 19 (1), 1-22.
Frietsch, R., Neuhäusler, P., & Rothengatter, O. (2011). Patent applications-structures, trends and recent developments. Berlin: Fraunhofer Institute for Systems and Innovation Research ISI.  Retrieved 24 Sept. 2014, from http://www.isi.fraunhofer.de/isi-wAssets/docs/p/de/efi-studien/2016_StuDIS_04.pdf
He, Q. (1999). Knowledge discovery through co-word analysis. Library trends, 48 (1), 133-59.
Kumar, S., & Jan, J. M. (2012). Discovering knowledge landscapes: An epistemic analysis of business and management field in malaysia. Procedia-Social and Behavioral Sciences, 65, 1027-1032.
Lee, C., & Park, Y. (2009). Monitoring the evolutionary patterns of technological advances based on the dynamic patent lattice: A modified formal concept analysis approach. In Proceedings of the Ninth International Conference on Electronic Business Macau, Nov. 30 - Dec. 4, retrieved 20 Feb. 2015, from http://www.calpoly.edu/~eli/iceb/ICEB2009
Mane, K. K., & Börner, K. (2004). Mapping topics and topic bursts in PNAS. Proceedings of the national academy of sciences, 101(Suppl. 1), 5287-5290.
Ryan, G. W., & Bernard, H. R. (2003). Techniques to identify themes. Field Methods, 15 (1), 85-109.
Swanson, D. R., & Smalheiser, N. R. (1999). Implicit text linkages between Medline records: Using arrow smith as an aid to scientific discovery. Library Trends, 48 (1), 48-59.
Taduri, S. (2010). Application of patent networks to information retrieval: A preliminary study. Retrieved October 5, 2015, from: http://snap.stanford.edu/class/cs224w-2010/proj2010/20_final_report.pdf
Wang, X., & Inaba, M. (2009). Analyzing structures and evolution of digital humanities based on correspondence analysis and co-word analysis. Art research, 9, 123-134.
Wang, X.; Mohanty, N., & McCallum, A. (2006). Group and topic discovery from relations and their attributes. Retrieved 16 Aug.  2014, from https://people.cs.umass.edu/~mccallum/papers/gt-bookch07.pdf
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