Word2Vec 학습을 통한 의미 기반 해외 유사 특허 검색 방안

• 영문명: Identifying Similar Overseas Patent Using Word2Vec-Based Semantic Text Analytics
• 발행기관: 한국IT서비스학회
• 저자명: 백민지(Min ji Paek) 김남규(Nam gyu Kim)
• 간행물 정보: 『한국IT서비스학회지』한국IT서비스학회지 제17권 제2호, 129~142쪽, 전체 14쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2018.06.30

영문 초록

Recently, the number of patent applications have been increasing rapidly every year as the importance of protecting intellectual property rights becomes more important. Patents must be inventive and have novelty. Especially, the novelty implies that the corresponding invention is not the same as the previous invention. To confirm the novelty, prior art search must be conducted before and after the application. The target of prior art search should include not only Korean patents but also foreign patents. Search of foreign patents should be supported by multilingual search techniques. However, a dictionary-based naive approach shows a limitation because some technical concepts are represented in different terms according to each nation. For example, a Korean term and a Japanese term may not be synonym even though they represent the same technical concept. In this paper, we propose a new method to map semantic similarity between technical terms in Korean patents and Japanese patents. To investigate different representations in each nation for the same technical concept, we identified and analyzed pairs of patents those are mutually connected with priority claim relationship. By performing an experiment with real-world data, we showed that our approach can reveal semantically similar technical terms in other language successfully.

목차

1. 서 론

2. 선행 연구

3. 제안 방법론

4. 실 험

5. 결 론

References

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키워드

Patent Analysis Word2Vec Semantic Similarity Multilingual Search Prior Art Search