Search (74 results, page 1 of 4)

  • × theme_ss:"Wissensrepräsentation"
  1. Drewer, P.; Massion, F; Pulitano, D: Was haben Wissensmodellierung, Wissensstrukturierung, künstliche Intelligenz und Terminologie miteinander zu tun? (2017) 0.13 
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    Abstract
    Diese Publikation beschreibt die Zusammenhänge zwischen wissenshaltigen begriffsorientierten Terminologien, Ontologien, Big Data und künstliche Intelligenz.
    Date
    13.12.2017 14:17:22
  2. Hodgson, J.P.E.: Knowledge representation and language in AI (1991) 0.04 
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    BK
    54.72 / Künstliche Intelligenz
    Classification
    54.72 / Künstliche Intelligenz
    RSWK
    Wissensrepräsentation / Künstliche Intelligenz (BVB)
    Künstliche Intelligenz / Programmiersprache (BVB)
    Subject
    Wissensrepräsentation / Künstliche Intelligenz (BVB)
    Künstliche Intelligenz / Programmiersprache (BVB)
  3. Handbook on ontologies (2004) 0.04 
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    54.72 / Künstliche Intelligenz
    Classification
    ST 300 Informatik / Monographien / Künstliche Intelligenz / Allgemeines
    ST 302 Informatik / Monographien / Künstliche Intelligenz / Expertensysteme; Wissensbasierte Systeme
    54.72 / Künstliche Intelligenz
    RVK
    ST 300 Informatik / Monographien / Künstliche Intelligenz / Allgemeines
    ST 302 Informatik / Monographien / Künstliche Intelligenz / Expertensysteme; Wissensbasierte Systeme
  4. Developments in applied artificial intelligence : proceedings / 16th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2003, Loughborough, UK, June 23 - 26, 2003 (2003) 0.04 
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    54.72 (Künstliche Intelligenz)
    Classification
    54.72 (Künstliche Intelligenz)
    RSWK
    Künstliche Intelligenz / Kongress / Loughborough <2003>
    Subject
    Künstliche Intelligenz / Kongress / Loughborough <2003>
  5. Stuckenschmidt, H.: Ontologien : Konzepte, Technologien und Anwendungen (2009) 0.04 
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    54.72 / Künstliche Intelligenz
    Classification
    54.72 / Künstliche Intelligenz
  6. Reimer, U.: Einführung in die Wissensrepräsentation : netzartige und schema-basierte Repräsentationsformate (1991) 0.04 
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    Classification
    ST 304 Informatik / Monographien / Künstliche Intelligenz / Automatisches Programmieren, Deduction and theorem proving, Wissensrepräsentation
    RVK
    ST 304 Informatik / Monographien / Künstliche Intelligenz / Automatisches Programmieren, Deduction and theorem proving, Wissensrepräsentation
  7. Hüsken, P.: Informationssuche im Semantic Web : Methoden des Information Retrieval für die Wissensrepräsentation (2006) 0.03 
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    54.72 / Künstliche Intelligenz
    Classification
    54.72 / Künstliche Intelligenz
  8. Haas, M.: Methoden der künstlichen Intelligenz in betriebswirtschaftlichen Anwendungen (2006) 0.03 
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  9. Bauckhage, C.: Moderne Textanalyse : neues Wissen für intelligente Lösungen (2016) 0.03 
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    Abstract
    Im Zuge der immer größeren Verfügbarkeit von Daten (Big Data) und rasanter Fortschritte im Daten-basierten maschinellen Lernen haben wir in den letzten Jahren Durchbrüche in der künstlichen Intelligenz erlebt. Dieser Vortrag beleuchtet diese Entwicklungen insbesondere im Hinblick auf die automatische Analyse von Textdaten. Anhand einfacher Beispiele illustrieren wir, wie moderne Textanalyse abläuft und zeigen wiederum anhand von Beispielen, welche praktischen Anwendungsmöglichkeiten sich heutzutage in Branchen wie dem Verlagswesen, der Finanzindustrie oder dem Consulting ergeben.
  10. Erbarth, M.: Wissensrepräsentation mit semantischen Netzen : Grundlagen mit einem Anwendungsbeispiel für das Multi-Channel-Publishing (2006) 0.03 
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    54.72 / Künstliche Intelligenz
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    54.72 / Künstliche Intelligenz
  11. Stuckenschmidt, H.; Harmelen, F. van: Information sharing on the semantic web (2005) 0.03 
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  12. ¬The Semantic Web - ISWC 2010 : 9th International Semantic Web Conference, ISWC 2010, Shanghai, China, November 7-11, 2010, Revised Selected Papers, Part 2. (2010) 0.03 
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    Classification
    54.72 / Künstliche Intelligenz
  13. Helbig, H.: Knowledge representation and the semantics of natural language (2014) 0.03 
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    54.72 (Künstliche Intelligenz)
  14. Nagao, M.: Knowledge and inference (1990) 0.03 
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    RSWK
    Inferenz <Künstliche Intelligenz> / Wissensrepräsentation
    Subject
    Inferenz <Künstliche Intelligenz> / Wissensrepräsentation
  15. Hermans, J.: Ontologiebasiertes Information Retrieval für das Wissensmanagement (2008) 0.02 
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  16. Semantic digital libraries (2009) 0.02 
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  17. Beierle, C.; Kern-Isberner, G.: Methoden wissensbasierter Systeme : Grundlagen, Algorithmen, Anwendungen (2008) 0.02 
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  18. ¬The Semantic Web - ISWC 2010 : 9th International Semantic Web Conference, ISWC 2010, Shanghai, China, November 7-11, 2010, Revised Selected Papers, Part I. (2010) 0.02 
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  19. Zeng, Q.; Yu, M.; Yu, W.; Xiong, J.; Shi, Y.; Jiang, M.: Faceted hierarchy : a new graph type to organize scientific concepts and a construction method (2019) 0.02 
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    Content
    Vgl.: https%3A%2F%2Faclanthology.org%2FD19-5317.pdf&usg=AOvVaw0ZZFyq5wWTtNTvNkrvjlGA.
  20. Helbig, H.: Wissensverarbeitung und die Semantik der natürlichen Sprache : Wissensrepräsentation mit MultiNet (2008) 0.02 
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    Abstract
    Das Buch gibt eine umfassende Darstellung einer Methodik zur Interpretation und Bedeutungsrepräsentation natürlichsprachlicher Ausdrücke. Diese Methodik der "Mehrschichtigen Erweiterten Semantischen Netze", das sogenannte MultiNet-Paradigma, ist sowohl für theoretische Untersuchungen als auch für die automatische Verarbeitung natürlicher Sprache auf dem Rechner geeignet. Im ersten Teil des zweiteiligen Buches werden grundlegende Probleme der semantischen Repräsentation von Wissen bzw. der semantischen Interpretation natürlichsprachlicher Phänomene behandelt. Der zweite Teil enthält eine systematische Zusammenstellung des gesamten Repertoires von Darstellungsmitteln, die jeweils nach einem einheitlichen Schema beschrieben werden. Er dient als Kompendium der im Buch verwendeten formalen Beschreibungsmittel von MultiNet. Die vorgestellten Ergebnisse sind eingebettet in ein System von Software-Werkzeugen, die eine praktische Nutzung der MultiNet-Darstellungsmittel als Formalismus zur Bedeutungsrepräsentation im Rahmen der automatischen Sprachverarbeitung sichern. Hierzu gehören: eine Werkbank für den Wissensingenieur, ein Übersetzungssystem zur automatischen Gewinnung von Bedeutungsdarstellungen natürlichsprachlicher Sätze und eine Werkbank für den Computerlexikographen. Der Inhalt des Buches beruht auf jahrzehntelanger Forschung auf dem Gebiet der automatischen Sprachverarbeitung und wurde mit Vorlesungen zur Künstlichen Intelligenz und Wissensverarbeitung an der TU Dresden und der FernUniversität Hagen wiederholt in der Hochschullehre eingesetzt. Als Vorkenntnisse werden beim Leser lediglich Grundlagen der traditionellen Grammatik und elementare Kenntnisse der Prädikatenlogik vorausgesetzt.

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  • e 53
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  • m 19
  • el 15
  • x 7
  • s 5
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