While conventional search engines demonstrate the power of delivering information to ones' fingertips, the complexity of enterprise information raises a number of challenges to enterprise search engines in the nature of unstructured contents, task-relevance, result presentation and multiple languages. We show how we tackle the challenges in aviation field through the development of an enterprise search engine for English-Chinese MRO (Maintenance, Repair and Overhaul) task cards, called TaskCardFinder . It enables technicians and planners to quickly find out bilingual task cards related to a specific service request coming from airlines. Several context-awareness features is demonstrated, including context-aware preference search and recommendation, recall search by context, keywords suggestion, navigational and analysis-oriented search, bilingual search support and dynamic result presentation. A user study is done at an international aviation MRO company. The system is demonstrated in the video, www.youtube.com/watch?v=vj7u-VfRFZw. © Springer-Verlag 2013.
CITATION STYLE
Liu, Q., Wang, H., Deng, T., & Feng, L. (2013). TaskCardFinder: An aviation enterprise search engine for bilingual MRO task cards. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7826 LNCS, pp. 463–467). https://doi.org/10.1007/978-3-642-37450-0_37
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