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ICTAI
2009
IEEE

Cross-Media Knowledge Extraction in the Car Manufacturing Industry

10 years 1 months ago
Cross-Media Knowledge Extraction in the Car Manufacturing Industry
In this paper, we present a novel framework for machine learning-based cross-media knowledge extraction. The framework is specifically designed to handle documents composed of three types of media – text, images and raw data – and to exploit the evidence for an extracted fact from across the media. We validate the framework by applying it in the design and development of cross-media extraction systems in the context of two real-world use cases in the car manufacturing industry. Moreover, we show that in these use cases the cross-media approach effectively improves system extraction accuracy.
José Iria, Spiros Nikolopoulos, Martin Mozi
Added 24 May 2010
Updated 24 May 2010
Type Conference
Year 2009
Where ICTAI
Authors José Iria, Spiros Nikolopoulos, Martin Mozina
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