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In this article we present an e-librarian service which is able to retrieve multimedia resources from a knowledge base in a more efficient way than by browsing through an index or by using a simple keyword search. Our premise is that more pertinent results would be retrieved if the e-librarian service had a semantic search engine which understood the sense of the user's query. We explored the approach to allow the user to formulate a complete question in natural language.

it - information technology

Semantic Interpretation of Natural Language User Input to Improve Search in Multimedia Knowledge Base (Semantische Interpretation einer Benutzer-Eingabe in natürlicher Sprache für eine verbesserte Suche in einer multimedialen Wissensdatenbank)