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Information Retrieval und knstliche Intelligenz

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Brand
Springer Nature
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N/A
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0
GTIN
9783835005983
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Product Description

In nahezu allen Unternehmen gilt heute die effiziente Nutzung der Ressource Wissen als einer der kritischen Erfolgsfaktoren; dem Wissensmanagement wird immer grere Aufmerksamkeit geschenkt. Hufig steht man dabei vor dem Problem, aus einer stndig wachsenden Menge gespeicherter Text-Do- mente die fr eine aktuelle Fragestellung relevanten Dokumente heraus- suchen. Information-Retrieval-Systeme sollen den Benutzer bei der Informationssuche untersttzen. Die verfgbaren Information-Retrieval-Systeme bieten dem un- bten Benutzer jedoch zu wenig Untersttzung. Da die zu recherchierenden Texte in der Regel ohne lexikalische Kontrolle und hufig noch dazu in v- schiedenen Sprachen - verfasst wurden, ist es dem Benutzer kaum mglich, die treffenden Termini fr seine Suchanfrage zu erraten. Die Benutzeroberflche solcher Systeme muss so gestaltet werden, dass auch der ungebte Benutzer seinen Informationsbedarf in einfacher Weise formulieren kann. Nach der im vorliegenden Buch entwickelten Methode soll dieses Ziel erreicht werden, indem Methoden, die im Forschungsgebiet der Knstlichen Intelligenz (KI) entwickelt wurden, auf das Problem des Information Retrieval bertragen werden: Zwischen den Benutzer und das Information-Retrieval-System soll sich ein sogenannter KI-Assistent schieben, der dem Benutzer in dreierlei Hinsicht Hilfe anbietet: 1. Durch eine geeignete Menfhrung soll der Benutzer dabei untersttzt werden, seine Suchanfrage nach einer semantisch orientierten Methode zu konstruieren.

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