2019년 컴퓨터종합학술대회
Current Result Document :
| 한글제목(Korean Title) |
특허 문서 그래프 임베딩을 이용한 특허 유사도 분석 |
| 영문제목(English Title) |
Patent similarity analysis using patent document graph embedding |
| 저자(Author) |
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Charles Cheolgi Lee
Arousha Haghighian Roudsari
Wookey Lee
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| 원문수록처(Citation) |
VOL 46 NO. 01 PP. 0617 ~ 0618 (2019. 06) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
It is crucial for facilitating further analyses of patent data so that a study has been carried out to embed claims and drawings of patent documents into a deep learning based language model. The novelty of our approach is on the graph embedding model for the patent database where a similarity metric for further iteration procedure that needs to be developed. We calculated the patent similarity using the embedded graphs and compared it with the existing methods through experiments. With the results, the embedded patent model can be mapped into the patent classification model. G |
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