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

Title
Identifying technological competition trends for R&D planning using dynamic patent maps: SAO-based content analysis
Author
박현석
Keywords
Dynamic patent map; Subject-action-object (SAO) structure; Semantic patent similarity; Natural language processing (NLP); Research and development (R&D) strategy; SCIENCE MAPS; REPRESENTATIONS
Issue Date
2013-01
Publisher
Springer Science + Business Media
Citation
SCIENTOMETRICS, JAN 2013, 94(1), p313-p331, 19p.
Abstract
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.
URI
https://link.springer.com/article/10.1007/s11192-012-0830-6https://repository.hanyang.ac.kr/handle/20.500.11754/69858
ISSN
0138-9130
DOI
10.1007/s11192-012-0830-6
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > INFORMATION SYSTEMS(정보시스템학과) > Articles
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