Journal of the Korea Safety Management & Science (대한안전경영과학회지)

Korea Safety Management & Science (대한안전경영과학회)
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A study on the efficient patent search process using big data analysis tool R

빅데이터 분석 도구 R을 활용한 효율적인 특허 검색에 관한 연구

  • Received : 2013.10.20
  • Accepted : 2013.12.05
  • Published : 2013.12.31
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Abstract

Due to sudden transition to intellectual society corresponding with fast technology progress, companies and nations need to focus on development and guarantee of intellectual property. The possession of intellectual property has been the important factor of competition power. In this paper we developed the efficient patent search process with big data analysis tool R. This patent search process consists of 5 steps. We result that at first this process obtain the core patent search key words and search the target patents through search formula using the combination of above patent search key words.

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References

  1. 고수정, 이정현, "Weighted Bayesian Automatic Document Categorization Based on Association Word Knowledge Base by Apriori Algorithm" 멀티미디어학회논문지 제4권 제2호, 2001. 04.
  2. 고충곤, "The Imporlance of Intellectual Property in the Coming Information Society" 정보과학회지 제17권 제10호, 1999. 10.
  3. 권동준, "특허관리전문회사(NPE)의 두 얼굴", etnews, 2013. 05.
  4. 기획재정부, "시사경제용어사전", 2011. 11.
  5. 김용, "A Study on Design and Implementation of Personalized Information Recommendation System based on Apriori Algorithm", 한국비블리아학회지 제23권 제4호, 2012. 12.
  6. 윕스IP교육센터, "특허정보의 효율적 검색 및 관리", 2011. 07.
  7. 이성직, 김한준, "Keyword Extraction from News Corpus using Modified TF-IDF", 한국전자거래학회지 제14권 제4호, 2009. 11.
  8. 정연덕, "The Study of Patent Abuse in respect of Patent Troll", 산업재산권 제22호, 2007. 04.

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