Identifying technological competition trends for R&D planning using dynamic patent maps: SAO-based content analysis

被引:135
作者
Yoon, Janghyeok [2 ]
Park, Hyunseok [3 ]
Kim, Kwangsoo [1 ]
机构
[1] Pohang Univ Sci & Technol, Dept Ind & Management Engn, Pohang 790784, South Korea
[2] Konkuk Univ, Dept Ind Engn, Seoul 143701, South Korea
[3] Pohang Univ Sci & Technol, Dept Technol & Innovat Management, Pohang 790784, South Korea
关键词
Dynamic patent map; Subject-action-object (SAO) structure; Semantic patent similarity; Natural language processing (NLP); Research and development (R&D) strategy; SCIENCE MAPS; REPRESENTATIONS;
D O I
10.1007/s11192-012-0830-6
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Patent maps showing competition trends in technological development can provide valuable input for decision support on research and development (R&D) strategies. By introducing semantic patent analysis with advantages in representing technological objectives and structures, this paper constructs dynamic patent maps to show technological competition trends and describes the strategic functions of the dynamic maps. The proposed maps are based on subject-action-object (SAO) structures that are syntactically ordered sentences extracted using the natural language processing of the patent text; the structures of a patent encode the key findings of the invention and expertise of its inventors. Therefore, this paper introduces a method of constructing dynamic patent maps using SAO-based content analysis of patents and presents several types of dynamic patent maps by combining patent bibliographic information and patent mapping and clustering techniques. Building on the maps, this paper provides further analyses to identify technological areas in which patents have not been granted ("patent vacuums"), areas in which many patents have actively appeared ("technological hot spots"), R&D overlap of technological competitors, and characteristics of patent clusters. The proposed analyses of dynamic patent maps are illustrated using patents related to the synthesis of carbon nanotubes. We expect that the proposed method will aid experts in understanding technological competition trends in the process of formulating R&D strategies.
引用
收藏
页码:313 / 331
页数:19
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