DOI QR코드

DOI QR Code

Development of Customized Trip Navigation System Using Open Government Data

공공데이터를 활용한 맞춤형 여행 네비게이션 시스템 구현

  • Shim, Beomsoo (R&D strategy & planning office, KHNP central research institute) ;
  • Lee, Hanjun (Center for Defense Acquisition, Korea Institute for Defense Analyses) ;
  • Yoo, Donghee (Dept. of Management Information Systems, Gyeongsang National University)
  • Received : 2015.09.03
  • Accepted : 2016.01.05
  • Published : 2016.02.29

Abstract

Under the flag of creative economy, Korea government is now releasing public data in order to develop or provide a range of services. In this paper, we develop a customized trip navigation system to recommend a trip itinerary based on integration of open government data and personal tourist data. The system uses case-based reasoning (CBR) to provide a personalized trip navigation service. The main difference between existing trip information systems and ours is that our system can offers a user-oriented information service. In addition, our system supports Turn-key style contents provision to maximize convenience. Our system can be a good example of the way in which open government data can be used to design a new service.

최근 정부는 창조경제라는 패러다임에 따라 다양한 분야의 공공데이터를 개방하고 여러 종류의 대국민 서비스를 구축하는 등 공공데이터 활용을 통한 가치창출에 역점을 두고 있다. 본 논문에서는 여행에 관한 공공데이터와 사용자 정보를 융합하여 사용자에게 맞춤형 여행 정보를 추천하는 시스템을 구현하였다. 본 시스템에서는 사례기반추론(CBR) 방식을 이용하여 사용자별 맞춤형 정보 추천이 가능하도록 하였다. 본 시스템은 사용자 중심의 여행 정보를 제공한다는 측면에서 기존의 여행 시스템들과 차별화된다고 할 수 있으며, 턴키(Turn-key) 방식의 콘텐츠 제공으로 사용자의 편의성을 극대화할 수 있는 유용한 도구로 활용될 수 있을 것으로 판단된다. 본 연구가 공공데이터의 성공적인 활용 사례가 되기를 기대한다.

Keywords

References

  1. Act on Promotion of the Provision and Use of Public Data, Act No.11956, 30. Jul, 2013. http://elaw.klri.re.kr/eng_mobile/viewer.do?hseq=30365&type=part&key=4
  2. C. Kim, "A Study for Transaction Processing Supporting Scalability in the Cloud", The Journal of the Korea institute of electronic communication sciences, Vol. 7, No. 4, pp. 873-879, 2012. http://www.dbpia.co.kr/Article/NODE01927751 https://doi.org/10.13067/JKIECS.2012.7.4.873
  3. J. Choe, "A Study on the Direction of Improvement of Institutional System for the Activation of Public Data Usage", Korea Association for Information Law, Vol. 16, No. 1, pp. 237-266. 2012. http://kafil.or.kr/wp-content/uploads/2012/07/08.-%EC%B5%9C%EC%A7%84%EC%9B%90.pdf
  4. I. Song, "A Study on the Plans for Effective Use of Public Data: From the Perspectives of Benefit, Opportunity, Cost, and Risk", Journal of Internet Computing and Services, Vol. 16, No. 4, pp. 131-139, 2015. https://doi.org/10.7472/jksii.2015.16.4.131
  5. H. Seo and S. Myeong, "Policy Alternatives for User-oriented Public Data Utilization-Focusing on ICT Managers' Perception in Private Sector", Journal of Korea Association for Regional Information Society, Vol. 17, No. 3, pp. 61-86, 2014. http://www.dbpia.co.kr/Article/NODE02508348
  6. Open Data Korea Forum, Provision of Public Data and Creation of Jobs, 2013. http://opendatakoreaforum.kr
  7. W. Park, "Cases of Public Data Use for Construction of Creative Economy Foundation", Trend & Insight, Korea Communications Agency, Vol. 72, pp. 30-43, 2014. http://kcaresearch.kr/upload/webzine/pdf/2_2014030610055969.pdf
  8. J. Kim, "Understanding of Public Data use and its Forein Cases", Korea Local Information Research & Development Institute, Local Info. Issue 6, 2014. https://www.klid.or.kr/section/file/file.php?seq=3744
  9. F. Ricci and H. Werthner, "Case Base Querying for Travel Planning Recommendation", Information Technology & Tourism, Vol. 4, No. 3-4, pp. 215-226. 2001. http://dx.doi.org/10.3727/109830501108751001
  10. H. Kwon and K. Hong, "Personalization of LBS using Recommender Systems Based on Collaborative Filtering", Korean Society for Internet Information, Vol. 11, No. 6, pp. 1-11, 2010. http://www.dbpia.co.kr/Article/NODE01569140
  11. J. Nielsen, Why You Only Need to Test With 5 Users, 2000. https://www.nngroup.com/articles/why-you-only-need-totest-with-5-users/

Cited by

  1. A Social Travel Recommendation System using Item-based collaborative filtering vol.19, pp.3, 2016, https://doi.org/10.7472/jksii.2018.19.3.7
  2. 위치지능화를 통한 공공데이터의 활용성 향상에 관한 연구 vol.49, pp.2, 2016, https://doi.org/10.22640/lxsiri.2019.49.2.93