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KI - Künstliche Intelligenz

, Volume 24, Issue 1, pp 51–55 | Cite as

Logic-Based Question Answering

  • Ulrich Furbach
  • Ingo Glöckner
  • Hermann Helbig
  • Björn Pelzer
Projekt

Abstract

Question answering systems aim to provide concise and correct responses to arbitrary questions, communicating with the user in a natural language. This way they help making the knowledge of large textual sources accessible in an intuitive manner which goes beyond the capabilities of conventional search engines. In the LogAnswer project the universities of Hagen and Koblenz cooperate to build a German language question answering system which combines computational linguistics and automated reasoning to deduce answers from a knowledge base derived from Wikipedia.

Keywords

Theorem Prover Automate Reasoning Textual Source Question Answering Automate Theorem Prover 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag 2010

Authors and Affiliations

  • Ulrich Furbach
    • 1
  • Ingo Glöckner
    • 2
  • Hermann Helbig
    • 2
  • Björn Pelzer
    • 1
  1. 1.AI Research Group, Computer Science FacultyUniversität Koblenz-LandauKoblenzDeutschland
  2. 2.Intelligent Information and Communication Systems Group (IICS)FernUniversität in HagenHagenDeutschland

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