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Development of GIS based Air Pollution Information System, using a Context Awareness Model

상황인지모델을 이용한 GIS 기반의 대기오염 정보시스템 개발

  • Kim, Taehoon (ICT Convergence and Integration Research Institute, Korea Institute of Civil Engineering and Building Technology) ;
  • Hong, Sungchul (ICT Convergence and Integration Research Institute, Korea Institute of Civil Engineering and Building Technology)
  • 김태훈 (한국건설기술연구원 ICT융합연구소) ;
  • 홍성철 (한국건설기술연구원 ICT융합연구소)
  • Received : 2015.05.12
  • Accepted : 2015.06.11
  • Published : 2015.06.30

Abstract

Due to the rapid advance in web and mobile computing technologies, normal users have become to produce, provide, and share a varied form of spatial data and information. In the domain of spatial information, numerous researches on GIS have been conducted to provide spatial information services based on a geo-sensor network and a data integration and processing technology. However, to provide user-oriented information, a context information model is necessary to associate GIS data with web and sensor data. Context awareness services is designed to provide specific information, minimizing users' interference. For which, the context information model expresses the relationship of various data from sensor networks and mobile applications and provides a user-specific information considering location and area of interest. Thus, this research aims to develops a context information model based air-pollution information system that obtains and analyses air pollution data and reflects the analysis results on an air-pollution policy. Also, this system aims to raise citizens' awareness on air-pollution and to promote citizens' participatory to improve city's air quality.

센서네트워크(Sensor Network)기반의 웹 기반 기술과 모바일 컴퓨팅 기술의 급속한 발전으로 인해, 일반인은 유비쿼터스(Ubiquitous) 환경에서 다양한 형태의 데이터와 정보를 생산, 제공 및 공유할 수 있게 되었다. 공간정보분야에서는 지오 센서네트워크(Geosensor Network)와 공간 비공간 데이터 융합처리기술이 결합된 GIS(Geographic Information System)를 이용하여 공간정보 서비스를 제공하는 연구가 진행 중이다. 하지만, 방대한 양을 가지는 웹 데이터와 센서데이터를 GIS 데이터와 연계하여, 사용자 맞춤형 정보를 생성하기 위해서는 상황인지모델 기반의 정보제공이 필요하다. 상황인지 서비스는 사용자의 개입을 최소화하면서, 사용자 상황에 맞는 적절한 정보를 제공하는 것을 의미한다. 이를 위해 상황인지모델은 센서네트워크와 모바일 기기에서 취득된 데이터들의 특성과 연관성을 모델링하고, 사용자의 위치와 관심지역의 상황에 맞는 정보를 제공한다. 이에 본 연구에서는 상황인지모델 기반의 GIS 플랫폼을 개발하였다. 개발된 시스템은 대기환경 데이터와 모바일 데이터를 취득하고 분석된 결과를 대기환경정책에 반영함으로써, 시민의 환경의식을 높이고 공동참여를 활성화하도록 설계되었다.

Keywords

References

  1. C. H. Lee, K. W. An, M. S. Lee, J. W. Kim "Trends of u-GIS Spatial Information Technology", Electronics and Telecommunication Trends, pp. 110-123, 2007.
  2. K. Y. Kang, C. S. Hwang "A Study on Geo-Ontological Application of Coastal Information", Journal of Korean Geographical Society, pp. 112-127, 48(1), 2013
  3. A. Seo, E. C. Kim "Development of Smart Phone based Social Inquiry and Recommendation System, suing Context Information Model", The e-Business Studies, pp. 293-311, 13(4), 2012
  4. J. M. Park "A Design and Implementation on Ontology for Public Participation GIS", Journal of the Korean Geographical Society, pp.372-394, 44(3), 2009
  5. Y. Choi, S. K. Lee, A. S. Kim "Information Retrieval and Visualization of Social Engagement in a City based on Social Sensor Network Service", Conference on Journal of the HSI Society of Korea, pp.585-587, 2012
  6. International Standard Organization [Internet] ISO 19154 "Geographic information-Ubiquitous public access-Reference model", Available From: http://www.iso.org/iso/iso_catalogue/catalogue_tc/catalogue_detail.htm?csnumber=32572 (assessed May,4, 2014)
  7. J. J. Kim, I. S. Shin, K. J. Han "Development of a Geo Semantic Web System" Journal of Korea Spatial Information Society, pp. 83-92, 18(5), 2010
  8. M. Park. K. H. Ryu "Context Information Model Using Ontologies and Rules based on Spatial Object" Transactions on Software and Data Engineering, pp. 163-168, 3(4), 2014 https://doi.org/10.3745/KTSDE.2014.3.4.163
  9. B. J. Kim. H. S. Hwang, S. H. Shin, C. S. Kim "The Design of a Context-Aware Search System Using Ontology Based on the LBS/GIS" Korea Multimedia Society, pp. 433-436, 2006
  10. K. S. Jung, T. H. Moon, S. Y. Lee, C. H. Ha "Development of Landscape Diagnosis Model based on Public Participation GIS for Public Participation", Journal of the Korean Association Geographic Information Studies, pp151-164, 9(4), 2006
  11. Want, R., Hopper, A., Falcao, V., and Gibbons, J., "The Active Badge Location System", ACM Transactions on Information Systems, Vol. 10, No. 1, 1992. DOI: http://dx.doi.org/10.1145/128756.128759
  12. Schilit, B.N., Adams, N., and Want, R., "Context-Aware Computing Applications", 1st International Workshop on Mobile Computing Systems and Applications, pp.85-90, 1994. DOI: http://dx.doi.org/10.1109/wmcsa.1994.16
  13. Chen, G. and Kotz, D., "A Survey of Context-Aware Mobile Computing Research", Dartmouth Computer Science, 2000.
  14. T. Strang, C. Linnhoff-Popien "A Context Modeling Survey", Workshop on Advanced Context Modeling, Reasoning and Management, UbiComp, 2004.
  15. S. H. Ryu, S. H. Chang, D. C. Shin, S. K. Park "Trends of Context Aware Computing Technology", Electronics and Telecommunication Trends, 2010
  16. J. H. Kim, M. K. Hwang, H. M. Jung "Context Information Modeling based on Ontology", Journal of Digital Contents Society, pp.437-447, 12(4), 2011. DOI: http://dx.doi.org/10.9728/dcs.2011.12.4.437
  17. B. N. Schilit, N. Adams, R. Want "Context-Aware Computing Applications", 1st International Workshop on Mobile Computing Systems and Applications, pp.85-90, 1994. DOI: http://dx.doi.org/10.1109/wmcsa.1994.16
  18. Q. Z. Sheng, B. Benatallah, "ContextUML: A UML-Based Modeling Language for Model-Driven Development of Context-Aware Web Services", In Proceedings of the International Conference on Mobile Business, pp.206-212, 2005. DOI: http://dx.doi.org/10.1109/icmb.2005.33
  19. A. Schmidt, M. Beigl, H. Gellersen "There is more to context than location", Computers and Graphics, pp.893-901, 23(6), 1999. DOI: http://dx.doi.org/10.1016/S0097-8493(99)00120-X
  20. J. McCarthy, S. Buvac "Formalizing context (expanded notes)", In Working Papers of the AAAI Fall Symposium on Context in Knowledge Representation and Natural Language, American Association for Artificial Intelligence, pp. 99-135, 1997.
  21. C. Ghidini, F. Giunchiglia "Local models semantics, or contextual reasoning = locality + compatibility", Artificial Intelligence, pp.221-259, 127(2), 2001. DOI: http://dx.doi.org/10.1016/S0004-3702(01)00064-9
  22. T. Strang, C. Linnhoff-Popien, K. Frank, "CoOL: A Context Ontology Language to enable Contextual Interoperability", In Proceedings of 4th IFIP WG 6.1 International Conference on Distributed Applications and Interoperable Systems (DAIS2003), Lecture Notes in Computer Science (LNCS) 2893, Springer Verlag, pp. 236-247, 2003. DOI: http://dx.doi.org/10.1007/978-3-540-40010-3_21