Skip to main content

An Ontological Approach for Service Adaptation in Context Aware Environment

  • Conference paper
  • First Online:
Advanced Intelligent Systems for Sustainable Development (AI2SD’2019) (AI2SD 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1102))

Abstract

Several research initiatives have investigated the potential of mobile learning as a new emerging technology to assist teaching and learning strategy that exploit learner’s contextual information to provide an adaptive learning experience tailored to learner’s personal characteristics and context information as context-aware. The main challenge in context-aware is context ontologies, it represents the most part for context modeling. In this paper, we propose an ontology-based approach for service adaptation in context aware environment.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Institutional subscriptions

References

  1. Aziz, A.K., Khoukhi, F.: A Design Requirements Framework for Mobile Learning Environment, pp. 208–215. Springer, New York (2018)

    Google Scholar 

  2. Aziz, A., Khoukhi, F.: Toward an ontology-based approach of context-aware. Int. J. Latest Trends Eng. Technol. 12, 8–13 (2019)

    Google Scholar 

  3. Aziz, A., Khoukhi, F.: Context-aware that performs adaptation in mobile learning. Lect. Notes Netw. Syst. 66, 143–152 (2019)

    Article  Google Scholar 

  4. Dey, A.K.: Understanding and using context. Pers. Ubiquitous Comput. 5, 4–7 (2001)

    Article  Google Scholar 

  5. Economides, A.A.: Context-aware mobile learning BT—the open knowledge society. A computer science and information systems manifesto: first world summit on the knowledge society. In: Presented at the Proceedings of the WSKS 2008, Athens, Greece, 24–26 September 2008

    Google Scholar 

  6. Chen, H., Perich, F., Finin, T., Joshi, A.: In: Presented at the SOUPA: standard ontology for ubiquitous and pervasive applications (2004)

    Google Scholar 

  7. Strang , T., Linnhoff-Popien, C.: A context modeling survey. Work. Adv. Context Model. Reason. Manag. UbiComp 2004—Sixth Int. Conf. Ubiquitous Comput. Workshop o, 1–8 (2004)

    Google Scholar 

  8. Kapitsaki, G.M., Prezerakos, G.N., Tselikas, N.D., Venieris, I.S.: Context-aware service engineering: a survey. J. Syst. Softw. 82, 1285–1297 (2009)

    Article  Google Scholar 

  9. Wang, X.H., Zhang, D.Q., Gu, T., Pung, H.K.: Ontology based context modeling and reasoning using OWL. In: Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications Workshops. p. 18. IEEE Computer Society, Washington, DC, USA (2004)

    Google Scholar 

  10. Gómez, S., Zervas, P., Sampson, D.G., Fabregat, R.: Context-aware adaptive and personalized mobile learning delivery supported by UoLmP. J. King Saud Univ. Comput. Inf. Sci. 26, 47–61 (2014)

    Google Scholar 

  11. Mantovaneli Pessoa, R., Zardo Calvi, C., Pereira Filho, J.G., Guareis de Farias, C.R., Neisse, R.: Semantic context reasoning using ontology based models BT—dependable and adaptable networks and services. In: Proceedings Presented at the 13th Open European Summer School and IFIP TC6.6 Workshop, EUNICE 2007, Enschede, The Netherlands, 18–20 July 2007

    Google Scholar 

  12. Gao, Q., Dong, X.: A context-awareness based dynamic personalized hierarchical ontology modeling approach. Proced. Comput. Sci. 94, 380–385 (2016)

    Article  Google Scholar 

  13. Sagaya Priya, K.S., Kalpana, Y.: A review on context modelling techniques in context awarecomputing. Int. J. Eng. Technol. 8, 429–433 (2016)

    Google Scholar 

  14. Krummenacher, R., Strang, T.: Ontology-based context modeling. Ieice Trans. Inf. Syst. 90, 1262–1270 (2007)

    Google Scholar 

  15. Hayes, P. (ed..: RDF Semantics: W3C Recommendation 10 February 2004, http://www.w3.org/TR/2004/REC-rdf-mt-20040210/ (2004)

  16. Gu, T., Pung, H.K., Zhang, D.Q.: A service-oriented middleware for building context-aware services. J. Netw. Comput. Appl. 28, 1–18 (2005)

    Article  Google Scholar 

  17. Chen, H.L.: COBRA: An intelligent broker architecture for pervasive context-aware systems. Interfaces (Providence). 54, 129 (2004)

    Google Scholar 

  18. Jeng, Y.-L., Wu, T.-T., Huang, Y., Tan, Q., Yang, S.J.H.: The add-on impact of mobile applications in learning strategies: a review study. Educ. Technol. Soc. 13, 3–11 (2010)

    Google Scholar 

  19. International Standards Organization: ISO 8601:2004(E) Data elements and interchange formats - Information interchange - Representation of dates and times (2004)

    Google Scholar 

  20. Pan, F., Hobbs, J.R.: Time in owl-s. In: Proceedings of the AAAI 2019 Spring Symposium on Semantic Web Services 29–36 (2004)

    Google Scholar 

  21. Allen, J.F., Ferguson, G.: Actions and events in interval temporal logic. J. Log, Comput (1994)

    Book  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Abdelkarim Aziz .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Aziz, A., Khoukhi, F. (2020). An Ontological Approach for Service Adaptation in Context Aware Environment. In: Ezziyyani, M. (eds) Advanced Intelligent Systems for Sustainable Development (AI2SD’2019). AI2SD 2019. Advances in Intelligent Systems and Computing, vol 1102. Springer, Cham. https://doi.org/10.1007/978-3-030-36653-7_9

Download citation

Publish with us

Policies and ethics