repository
Patent text based technology tree construction research
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | 신현정 | - |
| dc.contributor.author | 류석현 | - |
| dc.date.accessioned | 2025-01-25T01:35:57Z | - |
| dc.date.available | 2025-01-25T01:35:57Z | - |
| dc.date.issued | 2023-02 | - |
| dc.identifier.other | 32553 | - |
| dc.identifier.uri | https://dspace.ajou.ac.kr/handle/2018.oak/24424 | - |
| dc.description | 학위논문(석사)--아주대학교 일반대학원 :인공지능학과,2023. 2 | - |
| dc.description.tableofcontents | Chapter I Introduction 1 <br> 1 Research background and purpose 1 <br> 2 Research organization 4 <br> <br>Chapter II Background 5 <br> 1 Technology tree 5 <br> <br>Chapter III Research framework 8 <br> 1 Overall research process 8 <br> 2 Step 1. Classification of technical documents 10 <br> 3 Step 2. Semantic keyword extraction and normalization 12 <br> 4 Step 3. Technology cluster labeling 15 <br> 5 Step 4. Network construction and semantic keyword classification 18 <br> 6 Step 5. Network-based technology tree 21 <br> <br>Chapter IV Case study 23 <br> 1 Data 23 <br> 2 Step 1. Classification of technical documents 25 <br> 3 Step 2. Semantic keyword extraction and normalization 27 <br> 4 Step 3. Technology cluster labeling 28 <br> 5 Step 4. Network construction and semantic keyword classification 31 <br> 6 Step 5. Network-based technology tree 33 <br> <br>Chapter V Conclusion 36 <br> 1 Discussion 36 <br> 2 Research contribution and limitation 38 <br> <br>Reference 40 | - |
| dc.language.iso | eng | - |
| dc.publisher | The Graduate School, Ajou University | - |
| dc.rights | 아주대학교 논문은 저작권에 의해 보호받습니다. | - |
| dc.title | Patent text based technology tree construction research | - |
| dc.title.alternative | 특허 텍스트 기반의 기술 체계도 구축 방법론 연구 | - |
| dc.type | Thesis | - |
| dc.contributor.affiliation | 아주대학교 대학원 | - |
| dc.contributor.department | 일반대학원 인공지능학과 | - |
| dc.date.awarded | 2023-02 | - |
| dc.description.degree | Master | - |
| dc.identifier.localId | T000000032553 | - |
| dc.identifier.url | https://dcoll.ajou.ac.kr/dcollection/common/orgView/000000032553 | - |
| dc.subject.keyword | Association rule mining | - |
| dc.subject.keyword | Patent analysis | - |
| dc.subject.keyword | SAO structure | - |
| dc.subject.keyword | Semantic network | - |
| dc.subject.keyword | Technology tree | - |
| dc.description.alternativeAbstract | A technology tree(Tech tree) is used to represent attribute information such as the function, purpose, and components of a technology, and is a useful tool to support decision-making on technology development in a particular technology area. But there is a limitation in the construction of Tech tree that it is difficult to reflect rapidly changing technologies properly due to the highly dependent of experts in the technology field. So, this research is aimed to reducing reliance on expert dependence by presenting a methodology that automates the construction of a Tech tree by focusing on the functional information of the technology, and to analyzing and present the attribute information of the technology. The information in the patent document is used to classify similar technology groups, and the text inside the patent document is used to identify the functional relationship of the detailed technology of each technology group. The results of this research will be utilized to provide information that can support R&D planning and decision-making on building a technology portfolio by providing information on technology relevance and technology development status. | - |
- 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 :5,273,967
- Total Download :2,137
- Today View :10,663
