Innovation Topic Analysis of Technology: The Case of Augmented Reality Patents
DC Field | Value | Language |
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dc.contributor.author | Choi, Hayoung | - |
dc.contributor.author | Oh, Seunghyun | - |
dc.contributor.author | Choi, Sungchul | - |
dc.contributor.author | Yoon, Janghyeok | - |
dc.date.available | 2020-02-27T15:44:00Z | - |
dc.date.created | 2020-02-06 | - |
dc.date.issued | 2018 | - |
dc.identifier.issn | 2169-3536 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/5309 | - |
dc.description.abstract | Innovation topics within a technology can be defined as generalized technical subjects that the technology desires to develop or improve. Since innovation topics act as a driving force for technical innovation, monitoring such concepts is necessary for understanding the current technology and directing further R&D. However, little attention has been paid to identifying latent innovation topics within a technology, and analyzing their relationships and potential for opportunity. Therefore, this paper proposes a multi-step approach to technological innovation topic analysis, on the basis of patents. The steps consist of: 1) structuring patent-keyword vectors; 2) identifying innovation topics based on semantic patent analysis; 3) constructing an innovation topic network; and 4) generating an opportunity-focused innovation topic map. The process of our approach is illustrated using patents that are related to augmented reality. This method can contribute to the systematic monitoring of a technology system's innovation topics and their potential. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.relation.isPartOf | IEEE ACCESS | - |
dc.subject | NETWORK ANALYSIS | - |
dc.subject | TRENDS | - |
dc.subject | FREQUENCY | - |
dc.subject | MAP | - |
dc.title | Innovation Topic Analysis of Technology: The Case of Augmented Reality Patents | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000429984600001 | - |
dc.identifier.doi | 10.1109/ACCESS.2018.2807622 | - |
dc.identifier.bibliographicCitation | IEEE ACCESS, v.6, pp.16119 - 16137 | - |
dc.identifier.scopusid | 2-s2.0-85042386267 | - |
dc.citation.endPage | 16137 | - |
dc.citation.startPage | 16119 | - |
dc.citation.title | IEEE ACCESS | - |
dc.citation.volume | 6 | - |
dc.contributor.affiliatedAuthor | Choi, Sungchul | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | Patent mining | - |
dc.subject.keywordAuthor | topic modeling | - |
dc.subject.keywordAuthor | network analysis | - |
dc.subject.keywordAuthor | opportunity analysis | - |
dc.subject.keywordAuthor | augmented reality technology | - |
dc.subject.keywordPlus | NETWORK ANALYSIS | - |
dc.subject.keywordPlus | TRENDS | - |
dc.subject.keywordPlus | FREQUENCY | - |
dc.subject.keywordPlus | MAP | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Telecommunications | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Telecommunications | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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