Ontology Based Information Retrieval: an application to automotive diagnosis
نویسندگان
چکیده
This article describes a real-world semantic information retrieval tool for automotive diagnosis. Troubleshooting documents have always been popular within car workshops / manufacturers as a simple and direct way to capitalize knowledge on the one hand and to access repair information on the other hand. However, with more and more complex vehicle architectures, troubleshooting bases have grown so much nowadays that finding relevant pieces of information can become harder than looking for a needle in a haystack. Based on a limited knowledge model of automotive diagnosis, our software aims at relieving car mechanics from the burden of storing and semantically searching through a large set of breakdown cases.
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