Search (228 results, page 12 of 12)

  • × theme_ss:"Wissensrepräsentation"
  • × year_i:[2000 TO 2010}
  1. Semenova, E.; Stricker, M.: ¬Eine Ontologie der Wissenschaftsdisziplinen : Entwicklung eines Instrumentariums für die Wissenskommunikation (2007) 0.00
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  2. Fensel, D.; Harmelen, F. van; Horrocks, I.: OIL and DAML+OIL : ontology languages for the Semantic Web (2004) 0.00
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  3. Innovations and advanced techniques in systems, computing sciences and software engineering (2008) 0.00
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    Abstract
    Innovations and Advanced Techniques in Systems, Computing Sciences and Software Engineering includes a set of rigorously reviewed world-class manuscripts addressing and detailing state-of-the-art research projects in the areas of Computer Science, Software Engineering, Computer Engineering, and Systems Engineering and Sciences. Innovations and Advanced Techniques in Systems, Computing Sciences and Software Engineering includes selected papers form the conference proceedings of the International Conference on Systems, Computing Sciences and Software Engineering (SCSS 2007) which was part of the International Joint Conferences on Computer, Information and Systems Sciences and Engineering (CISSE 2007).
  4. Panyr, J.: Thesauri, Semantische Netze, Frames, Topic Maps, Taxonomien, Ontologien - begriffliche Verwirrung oder konzeptionelle Vielfalt? (2006) 0.00
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  5. Hauer, M.: Mehrsprachige semantische Netze leichter entwickeln (2002) 0.00
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  6. Semantic Media Wiki : Autoren sollen Wiki-Inhalte erschließen (2006) 0.00
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  7. Stollberg, M.: Ontologiebasierte Wissensmodellierung : Verwendung als semantischer Grundbaustein des Semantic Web (2002) 0.00
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    Abstract
    In Kapitel A werden die Grundlagen von Ontologien als Verfahren der Wissensmodellierung erarbeitet. Dazu wird zunächst die definitorische Erfassung von Ontologien erläutert. Zur Erlangung eines fundierten Verständnisses von Wissensmodellierung und der Besonderheiten ontologiebasierter Verfahren ist die Eingliederung dieser in den relevanten wissenschaftlichen Kontext erforderlich. Die in diesem Zusammenhang betrachtete Art der Wissensmodellierung dient vornehmlich als konzeptionelle Grundlage für die Erstellung wissensverarbeitender Computersysteme. Die Entwicklung derartiger Systeme ist das Hauptanliegen der Künstlichen Intelligenz, weshalb eine Positionierung ontologiebasierter Verfahren in derselben vorgenommen wird. Dabei sind vor allem jene Ansätze interessant, auf denen ontologiebasierte Verfahren aufbauen. Zunächst werden daher die grundlegenden theoretischen Aspekte der Wissensrepräsentation erläutert und anschließend daran die Bedeutung von Ontologien im Knowledge Engineering aufgezeigt, um den Verwendungskontext derartiger Verfahren der Wissensmodellierung zu verdeutlichen. Aufbauend darauf werden die spezifischen Eigenschaften ontologiebasierter Verfahren der Wissensmodellierung erörtert, wodurch ein grundlegendes Verständnis dieser Methodik erreicht werden soll.
  8. Fischer, D.H.: ¬Ein Lehrbeispiel für eine Ontologie : OpenCyc (2004) 0.00
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    Type
    a

Languages

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  • el 1
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Types

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  • m 7
  • s 5
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