Applying Semantic Web Technologies to Assess Maintenance Tasks from Operational Interruptions: A Use-Case at Airbus
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.
KeywordsInformation 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.Andrews, P., Zaihrayeu, I., Pane, J.: A classification of semantic annotation systems. Semant. Web 3(3), 223–248 (2012)Google Scholar
- 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.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.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
- 7.Kenter, T., Maynard, D.: Using gate as an annotation tool. University of Sheffield, Natural language processing group (2005)Google Scholar
- 8.Miles, A., Bechhofer, S.: SKOS simple knowledge organization system reference. W3C (2009). https://www.w3.org/TR/skos-reference/
- 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
- 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