98 0

Full metadata record

DC FieldValueLanguage
dc.contributor.author박현석-
dc.date.accessioned2018-04-19T12:32:45Z-
dc.date.available2018-04-19T12:32:45Z-
dc.date.issued2013-01-
dc.identifier.citationSCIENTOMETRICS, JAN 2013, 94(1), p313-p331, 19p.en_US
dc.identifier.issn0138-9130-
dc.identifier.urihttps://link.springer.com/article/10.1007/s11192-012-0830-6-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/69858-
dc.description.abstractPatent 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.en_US
dc.language.isoenen_US
dc.publisherSpringer Science + Business Mediaen_US
dc.subjectDynamic patent mapen_US
dc.subjectSubject-action-object (SAO) structureen_US
dc.subjectSemantic patent similarityen_US
dc.subjectNatural language processing (NLP)en_US
dc.subjectResearch and development (R&D) strategyen_US
dc.subjectSCIENCE MAPSen_US
dc.subjectREPRESENTATIONSen_US
dc.titleIdentifying technological competition trends for R&D planning using dynamic patent maps: SAO-based content analysisen_US
dc.typeArticleen_US
dc.identifier.doi10.1007/s11192-012-0830-6-
dc.relation.journalSCIENTOMETRICS-
dc.contributor.googleauthorYoon, J.-
dc.contributor.googleauthorPark, H.-
dc.contributor.googleauthorKim, K.-
dc.relation.code2013015104-
dc.sector.campusS-
dc.sector.daehakCOLLEGE OF ENGINEERING[S]-
dc.sector.departmentDEPARTMENT OF INFORMATION SYSTEMS-
dc.identifier.pidhp-
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > INFORMATION SYSTEMS(정보시스템학과) > Articles
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE