Journal of the Korea Institute of Information and Communication Engineering (한국정보통신학회논문지)

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
권호 표지
DOI QR코드

DOI QR Code

A Study on Personal Experience Knowledge Evaluation Model for Knowledge Service

지식서비스를 위한 개인경험지식 분석 평가 모델 연구

  • Kim, Yu-Doo (School of Computer Science and Engineering, Korea University of Technology and Education) ;
  • Joo, In-Hak (Knowledge Convergence Service Research Section, IT Convergence Technology Research Laboratory, Electronics and Telecommunications Research Institute(ETRI)) ;
  • Park, Yun-Kyung (Knowledge Convergence Service Research Section, IT Convergence Technology Research Laboratory, Electronics and Telecommunications Research Institute(ETRI)) ;
  • Moon, Il-Young (School of Computer Science and Engineering, Korea University of Technology and Education) ;
  • Kwon, Oh-Young (School of Computer Science and Engineering, Korea University of Technology and Education)
  • Received : 2013.04.26
  • Accepted : 2013.06.04
  • Published : 2013.08.31
Download PDF
⟨ Previous Next ⟩

Abstract

The social network services are grown rapidly through dissemination of smart devices. Therefore, increasing the data exponentially because many people use web services. Using these big data, it will be needed study of providing customized knowledge. So in this paper, we had collected data of 40 people for implementation of knowledge service using big data during one month. Based on these data, we had inferred information of location and moving type, and evaluated accuracy. Through that we had studied personal experience knowledge evaluation model for knowledge service.

스마트 디바이스의 급격한 증가와 함께 사용자의 SNS(Social Network Service) 이용률도 급격하게 증가하게 되었다. 이로 인해 사용자들의 웹에 대한 접근성도 증가하면서, 데이터의 양도 기하급수적으로 증가하는 결과를 초래하였다. 이런 엄청난 양의 빅 데이터를 통해 획일적인 검색을 통한 정보 제공이 아닌, 사용자 맞춤형 지식 제공을 위한 연구의 필요성이 높아지고 있다. 이러한 지식 서비스를 제공하기 위해서는 사용자에 의해 수집된 데이터를 분석하고 평가하는 모델이 필요하다. 이에 본 논문에서는 스마트폰을 활용하여 40명의 데이터를 수집하여 이동정보와 장소를 추측 하고, 정답 셋을 구성하여 데이터의 평가를 할 수 있는 모델에 대한 연구를 수행 하였다.

Keywords

References

  1. Jiyoung Lee, Gartner prospect "Top 10 Strategic Technology Trend for 2012", Available: http://www.bloter.net/ archives/80262
  2. S. Chennuru, P. W. Chen, J. Zhu, and J. Y. Zhang, "Mobile Lifelogger-Recording, Indexing, and Understanding a MobileUser's Life," Mobile Computing, Applications, and Services, pp.263-281,2012.
  3. Maekawa, Y. Yanagisawa, Y. Kishino, K. Kamei, Y. Sakurai, and T. Okadome, "Object-Blog System for Environment- Generated Content," Pervasive Computing, IEEE, vol. 7, pp. 20-27, 2008.
  4. P. Wu, H. K. Peng, J. Zhu, and Y. Zhang, "Senscare: Semi-automatic activity summarization system for elderly care," Mobile Computing, Applications, and Services, pp. 1-19, 2012.
  5. Y.-S. Lee and S.-B. Cho, "Life Story Generation Using Mobile Context and Petri Net," in Artificial Intelligence and Soft Computing -ICAISC2008, 2008.
  6. Lecture Notes on Artificial Intelligence In Modeling and Retrieval of Context, Vol. 3946, pp. 1-17, 2006.
  7. GSS: General Social Survey on Time Use, 2005.

Cited by

  1. The Box-office Success Factors of Films Utilizing Big Data-Focus on Laugh and Tear of Film Factors vol.20, pp.6, 2016, https://doi.org/10.6109/jkiice.2016.20.6.1087
  2. 차량의 GPS 정보를 활용한 도로정보 추출 및 적용 방법 vol.17, pp.12, 2013, https://doi.org/10.6109/jkiice.2013.17.12.2960