Skip to main content
SpringerLink
Log in
Book cover

IT Convergence and Services pp 315–320Cite as

Towards a Context Modeling for a Greenhouse Based on USN

  • Conference paper
  • First Online:

  • 1048 Accesses

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 107))

Abstract

Recently more than ever, because of further global warming, violent climate changes, environmental pollution and food problem researchers have taken a lot of interests in greenhouses and vertical farms in agricultural environments. Generally, works in greenhouses are based on situation information from various sensors based on USN. In this paper, we propose a context modeling method for a lot of situation information which can arise in agricultural environments. The suggested context modeling method can define a various data generated in greenhouses based on USN as structural contexts based on a rule-based RDF. Through the suggested modeling method, various sensed data in a greenhouse can be regenerated as high-level context sets. Because the high-level contexts can be usefully used as important service execution conditions, the suggested context modeling method can be widely applied to various smart agricultural service applications or platforms for greenhouses based on USN and IT technologies and raise efficiency in development of a context-aware system and a context-based service automation system.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Dey AK (2001) Understanding and using context. J Pers Ubiquitous Comput 5(1):4–7

    Article  Google Scholar 

  2. Hervas R, Bravo J, Fontecha J (2010) A context model based on ontological languages: a proposal for information visualization. J Univers Comput Sci 16(12):1539–1555

    Google Scholar 

  3. Cho Y, Park S, Lee J, Moon J (2011) An OWL-based context model for U-agricultural environments. LNCS 6785:452–461

    Google Scholar 

  4. Hsien-Chou L, Chien-Chih T (2008) A RDF and OWL-based temporal context reasoning model for smart home. Inf Technol J 6(8):1130–1138

    Google Scholar 

  5. Dejene E, Marian S, Lionel B (2007) An ontology-based approach to context modeling and reasoning in pervasive computing. PerComW’07

    Google Scholar 

  6. Strang T, Linnho-Popien, C (2004) A context modeling survey. UbiComp 2004

    Google Scholar 

  7. W3C (2004) RDF/XML Syntax Speci¯cation. W3C Recommendation

    Google Scholar 

  8. McGuinness DL, Harmelen FV (eds) (2004) OWL web ontology language overview. W3C Recommendation

    Google Scholar 

  9. Matthew H, Protege OWL Tutorial, http://owl.cs.manchester.ac.uk/tutorials/protegeowltutorial/

Download references

Acknowledgments

This work was supported by the industrial Strategic technology development program(10037290, Development of Smart Growth Management System) funded by the Ministry of Knowledge Economy(MKE, Korea) and This work (Grants No. R00045044) was supported by Business for Cooperative R&D between Industry, Academy, and Research Institute funded Korea Small and Medium Business Administration in 2011.

Author information

Authors and Affiliations

  1. Information and Communication Engineering, Sunchon National University, 413 Jungangno, Suncheon, Jeonnam, 540-742, Korea

    Daeheon Park, Kyoungyong Cho, Jangwoo Park & Yongyun Cho

Authors
  1. Daeheon Park
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Kyoungyong Cho
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jangwoo Park
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Yongyun Cho
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yongyun Cho .

Editor information

Editors and Affiliations

  1. SeoulTech, Computer Science and Engineering, Seoul University of Science & Technology, Gongreung 2-dong 172, Seoul, 139-743, Korea, Republic of (South Korea)

    James J. Park

  2. , Computer Science, University of Georgia, GSRC 415, Athens, 30602-7404, Georgia, USA

    Hamid Arabnia

  3. , Business Administration, Daejin University, Hogukro 1007, Pocheon-Si, 487-711, Kyonggi-do, Korea, Republic of (South Korea)

    Hang-Bae Chang

  4. , Division of Information and Computer Eng, Ajou University, San 5, Suwon, Gyeonggido, 443-749, Korea, Republic of (South Korea)

    Taeshik Shon

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer Science+Business Media B.V.

About this paper

Cite this paper

Park, D., Cho, K., Park, J., Cho, Y. (2011). Towards a Context Modeling for a Greenhouse Based on USN. In: Park, J., Arabnia, H., Chang, HB., Shon, T. (eds) IT Convergence and Services. Lecture Notes in Electrical Engineering, vol 107. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-2598-0_33

Download citation

  • DOI: https://doi.org/10.1007/978-94-007-2598-0_33

  • Published:

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-2597-3

  • Online ISBN: 978-94-007-2598-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation