Compared to conventional internet search engines, the complexity of enterprise information space raises a number of challenges to enterprise search engines in the nature of unstructured search contents, task-relevance, dynamic result presentation, and multiple languages. We show how we tackle the above challenges through the development of an aviation-oriented enterprise search engine for English-Chinese bilingual MRO (Maintenance, Repair, and Overhaul) task cards, called TaskCar-dFinder. TaskCardFinder enables MRO service planners and technicians to quickly find out a list of bilingual MRO task cards which are relevant to a specific service order/request coming from airlines. The TaskCardFinder demonstrates several novel context-aware features specifically designed for aviation industry, including: topic-specific search assistance, relevant keywords suggestion, context-aware preferences support, recall-based search by time according to user's search history and/or task card viewing history, and MRO-service-relevant task cards recommendation. In addition to that, TaskCardFinder is also a bilingual (Chinese and English) search engine. It allows users to use either Chinese or English or the combination of both to search relevant technical data in both English and Chinese. © 2012 Springer-Verlag.
CITATION STYLE
Wang, H., Liu, Q., Deng, T., & Feng, L. (2012). A context-aware enterprise search engine for aviation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7345 LNAI, pp. 361–370). https://doi.org/10.1007/978-3-642-31087-4_38
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