Skip to main content

A Mapping Model to Match Context Sensing Data to Related Sentences

  • 731 Accesses

Part of the Lecture Notes in Electrical Engineering book series (LNEE,volume 461)


Following current trends in language learning applications, a context-based language generating application was developed to aid learners in effective language acquisition. In an effort to not only match the user’s situation with a relevant sentence, but also combine context information to create heterogeneous sentences, a new data model was devised. This paper describes the structure of this model based on a sensing data classifier as well as the corresponding language database. It also depicts a usage scenario with a procedural description of the underlying processes.


  • Context awareness
  • Context-based learning
  • Experiential awareness
  • Mobile phone sensing
  • Ubiquitous learning

This is a preview of subscription content, access via your institution.

Buying options

USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-981-10-6520-0_13
  • Chapter length: 9 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
USD   189.00
Price excludes VAT (USA)
  • ISBN: 978-981-10-6520-0
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   279.99
Price excludes VAT (USA)
Hardcover Book
USD   249.99
Price excludes VAT (USA)
Fig. 1.
Fig. 2.
Fig. 3.


  1. Cope, B., Kalantzis M.: Ubiquitous learning: an agenda for educational transformation. In: Ubiquitous Learning, pp. 3–14 (2009)

    Google Scholar 

  2. Hornby, A.S.: The situational approach in language teaching (I). ELT J. 4(4), 98–103 (1950)

    CrossRef  Google Scholar 

  3. Dey, A.K.: Providing Architectural Support for Building Context-Aware Applications. Diss, Georgia Institute of Technology (2000)

    Google Scholar 

  4. Vygotsky, L.S.: Mind in Society: The Development of Higher Psychological Processes. Harvard University Press, Cambridge (1980)

    Google Scholar 

  5. Kukulska-Hulme, A.: Language learning defined by time and place: a framework for next generation designs, pp. 1–13. Emerald Group Publishing Limited (2012)

    Google Scholar 

  6. Schilit, B.N., Adams, N., Want, R.: Context-aware computing applications. In: The First IEEE Workshop on Mobile Computing Systems and Applications, WMCSA (1994)

    Google Scholar 

  7. Kofod-Petersen, A., Mikalsen M.: Context: Representation and reasoning. Special issue of the Revue d’Intelligence Artificielle on Applying Context-Management (2005)

    Google Scholar 

  8. Lane, N.D., et al.: ZOE: a cloud-less dialog-enabled continuous sensing wearable exploiting heterogeneous computation. In: Proceedings of the 13th Annual International Conference on Mobile Systems, Applications, and Services. ACM (2015)

    Google Scholar 

  9. Chen, C.M., Li, Y.-L., Chen, M.-C.: Personalised context-aware ubiquitous learning system for supporting effective English vocabulary learning. Interact. Learn. Environ. 18(4), 341–364 (2010)

    CrossRef  Google Scholar 

  10. Petersen, S.A., Markiewicz, J.-K., Bjørnebekk, S.S.: Personalized and contextualized language learning: choose when, where and what. Res. Pract. Technol. Enhanced Learn. 4(01), 33–60 (2009)

    CrossRef  Google Scholar 

Download references


This work was supported by Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIP) (No. R7120-17-1007, SIAT CCTV Cloud Platform).

Author information

Authors and Affiliations


Corresponding author

Correspondence to Young-ho Park .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2018 Springer Nature Singapore Pte Ltd.

About this paper

Cite this paper

Surridge, L., Park, Yh. (2018). A Mapping Model to Match Context Sensing Data to Related Sentences. In: Lee, W., Choi, W., Jung, S., Song, M. (eds) Proceedings of the 7th International Conference on Emerging Databases. Lecture Notes in Electrical Engineering, vol 461. Springer, Singapore.

Download citation

  • DOI:

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6519-4

  • Online ISBN: 978-981-10-6520-0

  • eBook Packages: EngineeringEngineering (R0)