Inproceedings,

A multimodal dialogue mashup for medical image semantics

, and .
Proceedings of the 15th international conference on Intelligent user interfaces, page 381--384. New York, NY, USA, ACM, (2010)
DOI: 10.1145/1719970.1720036

Abstract

This paper presents a multimodal dialogue mashup where different users are involved in the use of different user interfaces for the annotation and retrieval of medical images. Our solution is a mashup that integrates a multimodal interface for speech-based annotation of medical images and dialogue-based image retrieval with a semantic image annotation tool for manual annotations on a desktop computer. A remote RDF repository connects the annotation and querying task into a common framework and serves as the semantic backend system for the advanced multimodal dialogue a radiologist can use.

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