Constructing understandable explanations for semantic search results

  • Authors:
  • Björn Forcher;Thomas Roth-Berghofer;Michael Sintek;Andreas Dengel

  • Affiliations:
  • Knowledge Management Department, German Research Center for Artificial Intelligence GmbH, Kaiserslautern, Germany;Knowledge Management Department, German Research Center for Artificial Intelligence GmbH, Kaiserslautern, Germany and Knowledge-Based Systems Group, Department of Computer Science, University of K ...;Knowledge Management Department, German Research Center for Artificial Intelligence GmbH, Kaiserslautern, Germany;Knowledge Management Department, German Research Center for Artificial Intelligence GmbH, Kaiserslautern, Germany and Knowledge-Based Systems Group, Department of Computer Science, University of K ...

  • Venue:
  • EKAW'10 Proceedings of the 17th international conference on Knowledge engineering and management by the masses
  • Year:
  • 2010

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Abstract

MEDICO aims to develop an intelligent, robust, and scalable semantic search engine for medical images. The search engine of the MEDICO demonstrator RadSem is based on formal ontologies and designated for different kinds of users such as medical doctors or patients. An explanation facility integrated into RadSem justifies search results by showing a connection between query and result. The constructed explanations are depicted as semantic networks containing various medical concepts and labels. This paper addresses the tailoring of justifications to different kinds of users regarding such quality aspects as understandability or amount of information. A user experiment shows that under certain conditions the quality of justifications can be pre-estimated by considering the usage frequency of medical terms in natural language.