Automatic interpretation of natural language for a multimedia e-learning tool

  • Linckels S
  • Meinel C
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Abstract

This paper describes the new e-learning tool CHESt that allows students
to search in a knowledge base for short (teaching) multimedia clips by
using a semantic search engine. We explain the different steps to
automatically describe the meaning of the clips with RDF (Resource
Description Framework). The concept is based on graph theory and
retrieval algorithms. Finally, we present rules how a human question can
be transformed into a RDF query. Thus, the knowledge base and the query
have the same format and can be compared.

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Authors

  • S Linckels

  • C Meinel

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