Context Processing for Adaptive Capability Delivery

  • Jānis GrabisEmail author
  • Jānis Kampars
  • Telma Mota


The starting point to run-time adaptation of capabilities and business services is the ability to discover changes in the delivery context. Indicators for relevant changes can be quite diverse depending on the business service and enterprise under consideration. Examples are performance measurements in systems management, specific events in workflow systems, user-generated actions in information systems, or trends detected on social media. This chapter will provide a systemization of potential indicators and context changes, introduce typical architectures of context platforms, and report on experiences with a sample implementation.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Abowd, G.D., Dey, A.K., Brown, P.J., Davies, N., Smith, M., Steggles, P.: Towards a better understanding of context and context-awareness. In: Proceedings of the 1st International Symposium on Handheld and Ubiquitous Computing, Ser. HUC ’99. LNCS 1707, pp. 304–307. Springer, London (1999)Google Scholar
  2. 2.
    Perera, C., Zaslavsky, A., Christen, P., Georgakopoulos, D.: Context aware computing for the internet of things: a survey. IEEE Commun. Surv. Tutor. 16(1), 414–454 (2014)CrossRefGoogle Scholar
  3. 3.
    Emmanouilidis, C., Koutsiamanis, R., Tasidou, A.: Mobile guides: taxonomy of architectures, context awareness, technologies and applications. J. Netw. Comput. Appl. 36(1), 103–125 (2013)CrossRefGoogle Scholar
  4. 4.
    Saidani, O., Rolland, C., Nurcan, S.: Towards a generic context model for BPM. In: 2015 48th Hawaii International Conference on System Sciences. IEEE, pp. 4120–4129 (2015)Google Scholar
  5. 5.
    Strang, T., Linnhoff-Popien, C.: A context modeling survey. In: Workshop Proceedings of the First International Workshop on Advanced Context Modelling, Reasoning and Management at UbiComp 2004, pp. 31–41 (2004)Google Scholar
  6. 6.
    Baldauf, M., Dustdar, S., Rosenberg, F.: A survey on context aware systems. Int. J. Ad Hoc Ubiq. Comput. 2(4), 263–277 (2007)Google Scholar
  7. 7.
    Khabou, N., Rodriguez, I.B.: Towards a novel analysis approach for collaborative ubiquitous systems. In: Proceedings of the Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE, IEEE, p. 30 (2012)Google Scholar
  8. 8.
    Nazario, D.C., Dantas, M.A.R., Todesco, J.L.: Context management: toward assessing quality of context parameters in a ubiquitous ambient assisted living environment. J. Inf. Syst. Technol. Manag. 11(3), 569–590 (2014)Google Scholar
  9. 9.
    Jokste, L.: Towards a model of context-aware recommender system. In: Proceedings of the CAiSE 2015 Forum at the 27th International Conference on Advanced Information Systems Engineering co-located with 27th International Conference on Advanced Information Systems Engineering (CAiSE 2015), Sweden, Stockholm, 8–12 June 2015, pp. 145–152. CEUR Workshop Proceedings, Stockholm (2015)Google Scholar
  10. 10.
    Grabis, J., Kampars, J., Bondars, Ž., Dobelis, Ē.: Design of vehicle routing capability. In: ASDENCA 2017, 29th International Conference on Advanced Information Systems Engineering, CAiSE 2017. LNBIP, vol. 286, pp. 3–13. Springer, Heidelberg (2017)Google Scholar
  11. 11.
    Grabis, J., Stirna, J.: Advanced context processing for business process execution adjustment. In: Advanced Information Systems Engineering Workshops: CAiSE 2015 International Workshops, Stockholm, Sweden, 8–9 June 2015. LNBIP, vol. 286, pp. 15–26. Springer, Heidelberg (2015)Google Scholar
  12. 12.
    Kampars, J., Grabis, J.: Near real-time big-data processing for data driven applications, In: Proceedings of the 3rd International Conference on Big Data Innovations and Applications, Innovate-Data 2017, Prague, Czech Republic, 21–23 August 2017, pp. 35–42. IEEE, Piscataway (2017)Google Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Faculty of Computer Science and Information Technology, Institute of Information TechnologyRiga Technical UniversityRigaLatvia
  2. 2.Altice LabsAveiroPortugal

Personalised recommendations