A multimodal dialogue mashup for medical image semantics

  • Authors:
  • Daniel Sonntag;Manuel Möller

  • Affiliations:
  • German Research Center for AI (DFKI), Saarbruecken, Germany;German Research Center for AI (DFKI), Kaiserslautern, Germany

  • Venue:
  • Proceedings of the 15th international conference on Intelligent user interfaces
  • Year:
  • 2010

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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.