repository
Evaluating the Promisingness of Vacant Technology Using Patent Analysis
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | 신현정 | - |
| dc.contributor.author | 조우진 | - |
| dc.date.accessioned | 2022-11-29T03:01:06Z | - |
| dc.date.available | 2022-11-29T03:01:06Z | - |
| dc.date.issued | 2022-08 | - |
| dc.identifier.other | 32151 | - |
| dc.identifier.uri | https://dspace.ajou.ac.kr/handle/2018.oak/20754 | - |
| dc.description | 학위논문(석사)--아주대학교 일반대학원 :인공지능학과,2022. 8 | - |
| dc.description.tableofcontents | Chapter I Introduction 1 1 Research background and purpose 1 2 Research organization 4 Chapter II Background 5 1 Vacant technology 5 2 Citation-based mapping approaches 7 3 Generative topographic mapping and visualization 9 Chapter III Research framework 11 1 Overall research framework 11 2 Extracting vacant technology based on backward citation 13 3 Extracting vacant technology based on technology contents 15 4 Extracting developed vacant technology feature 17 5 Utility evaluation 19 Chapter IV Case study 21 1 Extracting vacant technology based on backward citation 21 2 Extracting vacant technology based on technology contents 24 3 Extracting developed vacant technology feature 27 4 Utility evaluation 29 5 Discussion 31 Chapter V Conclusion 33 Reference 35 | - |
| dc.language.iso | eng | - |
| dc.publisher | The Graduate School, Ajou University | - |
| dc.rights | 아주대학교 논문은 저작권에 의해 보호받습니다. | - |
| dc.title | Evaluating the Promisingness of Vacant Technology Using Patent Analysis | - |
| dc.title.alternative | 특허분석을 통한 공백기술 유망성 평가 | - |
| dc.type | Thesis | - |
| dc.contributor.affiliation | 아주대학교 일반대학원 | - |
| dc.contributor.department | 일반대학원 인공지능학과 | - |
| dc.date.awarded | 2022. 8 | - |
| dc.description.degree | Master | - |
| dc.identifier.localId | 1254221 | - |
| dc.identifier.uci | I804:41038-000000032151 | - |
| dc.identifier.url | https://dcoll.ajou.ac.kr/dcollection/common/orgView/000000032151 | - |
| dc.subject.keyword | bibliographic coupling | - |
| dc.subject.keyword | generative topographic mapping | - |
| dc.subject.keyword | vacant technology | - |
| dc.description.alternativeAbstract | In the era of technological competition, technology vacancy is defined as a promising technology that is likely to open a new market that has not yet received attention. Accordingly, Various studies have been conducted using patent data to find these vacant technologies. Existing studies have contributed a lot to the field of extracting promising future technologies through vacant technologies. However, in the vacant technology extraction method, it has been limited based on citation information or text information among data in patents. In the case of patent citation information, there is a problem that information is generated by inventors or experts and is limited to the knowledge system they have. Therefore, if promising technologies are derived based only on the cited information of patents, there is a risk that the contents of the overall technology may be omitted. In this study, by integrating detecting vacant technology methodology will derive vacant technology from various perspectives, and the validity of the characteristics is verified by confirming the characteristics of the developed vacant technology. To this end, the data are divided into past and present points to analyze what characteristics exist for the technology that was evaluated as a past vacant technology but currently has been filled. Research on the characteristics of the developed vacant technology can be said to be essential to analyze it by reducing the ambiguity and uncertainty of the R&D decision-making process of a company or country. | - |
- Appears in Collections:
- Graduate School of Ajou University > Department of Artificial Intelligence > 3. Theses(Master)
- Files in This Item:
- There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
-
- License
- STATISTICS
- Total Visit :4,043,377
- Total Download :1,962
- Today View :2,291
