Applying Semantic Web Technologies to Assess Maintenance Tasks from Operational Interruptions: A Use-Case at Airbus

  • Ghislain Auguste AtemezingEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10250)


Airbus, one of the leading Aircraft company in Europe, collects and manages a substantial amount of unstructured data from airlines companies, related to events occurring during the exploitation of an aircraft. Those events are called “Operational Interruptions” (OI) describing observations and the work performed associated by operators in form of short text. At the same time, Airbus maintains a dataset of programmed maintenance task (MPD) for each family of aircraft. Currently, OIs are reported by companies in Excel spreadsheets and experts have to find manually in the OIs the ones that are most likely to match an existing task. In this paper, we describe a semi-automatic approach using semantic technologies to assist the experts of the domain to improve the matching process of OIs with related MPD. Our approach combines text annotation using GATE and a graph matching algorithm. The evaluation of the approach shows the benefits of using semantic technologies to manage unstructured data and future applications for data integration at Airbus.


Information retrieval Tagging system Graph matching CA-Manager GATE Airbus 



We would like to thank the Airbus team in Toulouse and ATOS colleagues for their valuable input and partnership.


  1. 1.
    Andrews, P., Zaihrayeu, I., Pane, J.: A classification of semantic annotation systems. Semant. Web 3(3), 223–248 (2012)Google Scholar
  2. 2.
    Berners-Lee, T., Hendler, J., Lassila, O., et al.: The semantic web. Sci. Am. 284(5), 28–37 (2001)CrossRefGoogle Scholar
  3. 3.
    Bizer, C., Heath, T., Berners-Lee, T.: Linked data - the story so far. Int. J. Semant. Web Inf. Syst. 5, 1–22 (2009)Google Scholar
  4. 4.
    Cardoso, J., Hepp, M., Lytras, M.D.: The Semantic Web: Real-World Applications from Industry, vol. 6. Springer Science & Business Media, Heidelberg (2007)Google Scholar
  5. 5.
    Cherfi, H., Coste, M., Amardeilh, F.: Ca-manager: a middleware for mutual enrichment between information extraction systems and knowledge repositories. In: 4th Workshop SOS-DLWD Des Sources Ouvertes au Web de Données, pp. 15–28 (2013)Google Scholar
  6. 6.
    Cunningham, H.: Gate, a general architecture for text engineering. Comput. Humanit. 36(2), 223–254 (1996)CrossRefGoogle Scholar
  7. 7.
    Kenter, T., Maynard, D.: Using gate as an annotation tool. University of Sheffield, Natural language processing group (2005)Google Scholar
  8. 8.
    Miles, A., Bechhofer, S.: SKOS simple knowledge organization system reference. W3C (2009).
  9. 9.
    Ngomo, A.-C.N., Auer, S.: Limes - a time-efficient approach for large-scale link discovery on the web of data. In: Proceedings of IJCAI (2011)Google Scholar
  10. 10.
    Noy, N.F., Sintek, M., Decker, S., Crubézy, M., Fergerson, R.W., Musen, M.A.: Creating semantic web contents with protege-2000. IEEE Intell. Syst. 2, 60–71 (2001)CrossRefGoogle Scholar
  11. 11.
    Dadzie, A.-S., Bhagdev, R., Chakravarthy, A., Chapman, S., Iria, J., Lanfranchi, V., Magalhães, J., Petrelli, D., Ciravegna, F.: Applying semantic web technologies to knowledge sharing in aerospace engineering. J. Ind. Manuf. 20, 611–623 (2009)CrossRefGoogle Scholar
  12. 12.
    Scharffe, F., Atemezing, G., Troncy, R., Gandon, F., Villata, S., Bucher, B., Hamdi, F., Bihanic, L., Képéklian, G., Cotton, F., et al.: Enabling linked-data publication with the datalift platform. In: Proceedings of AAAI Workshop on Semantic Cities (2012)Google Scholar
  13. 13.
    Uren, V., Cimiano, P., Iria, J., Handschuh, S., Vargas-Vera, M., Motta, E., Ciravegna, F.: Semantic annotation for knowledge management: requirements and a survey of the state of the art. Web Semant. Sci. Serv. Agents World Wide Web 4(1), 14–28 (2006)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.MONDECAParisFrance

Personalised recommendations