Cross-Media Knowledge Acquisition : A Case Study

The paper describes an approach to cross-media knowledge acquisition which combines text and raw data. The approach has been applied in a real-world use case concerning wind tunnel reports within the EU-funded project X-Media. The goal is to identify the source of wind noise in a vehicle and find the most suitable solution to reduce it. Information is extracted from the textual parts of the reports and provided to the raw data tool to improve its performance. The results of the initial experiments are encouraging.