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  • × classification_ss:"54.72 (Künstliche Intelligenz)"
  1. Stuart, D.: Practical ontologies for information professionals (2016) 0.01
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    Content
    C H A P T E R 1 What is an ontology?; Introduction; The data deluge and information overload; Defining terms; Knowledge organization systems and ontologies; Ontologies, metadata and linked data; What can an ontology do?; Ontologies and information professionals; Alternatives to ontologies; The aims of this book; The structure of this book; C H A P T E R 2 Ontologies and the semantic web; Introduction; The semantic web and linked data; Resource Description Framework (RDF); Classes, subclasses and properties; The semantic web stack; Embedded RDF; Alternative semantic visionsLibraries and the semantic web; Other cultural heritage institutions and the semantic web; Other organizations and the semantic web; Conclusion; C H A P T E R 3 Existing ontologies; Introduction; Ontology documentation; Ontologies for representing ontologies; Ontologies for libraries; Upper ontologies; Cultural heritage data models; Ontologies for the web; Conclusion; C H A P T E R 4 Adopting ontologies; Introduction; Reusing ontologies: application profiles and data models; Identifying ontologies; The ideal ontology discovery tool; Selection criteria; Conclusion C H A P T E R 5 Building ontologiesIntroduction; Approaches to building an ontology; The twelve steps; Ontology development example: Bibliometric Metrics Ontology element set; Conclusion; C H A P T E R 6 Interrogating ontologies; Introduction; Interrogating ontologies for reuse; Interrogating a knowledge base; Understanding ontology use; Conclusion; C H A P T E R 7 The future of ontologies and the information professional; Introduction; The future of ontologies for knowledge discovery; The future role of library and information professionals; The practical development of ontologies
  2. Lenzen, M: Natürliche und künstliche Intelligenz : Einführung in die Kognitionswissenschaft (2002) 0.01
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    Abstract
    Die Erforschung des menschlichen Geistes ist eines der spannendsten Unternehmen der Wissenschaft. Die Kognitionswissenschaft erforscht nicht nur abstrakte intellektuelle Leistungen wie etwa das Schachspiel, sondern die ganze Palette der Intelligenz: Sprache, Gedächtnis, Lernen, Wahrnehmung und Bewegung, neuerdings auch Emotionen und Bewusstsein. Diese Einführung bietet eine übersichtliche Darstellung der Entwicklung sowie der zentralen Probleme und Lösungsstrategien dieser neuen Disziplin. Manuela Lenzen studierte Philosophie in Bochum und Bielefeld. Als freie Wissenschaftsjournalistin schreibt sie u. a. für die Frankfurter Allgemeine und die Süddeutsche Zeitung, für die Frankfurter Rundschau und die Zeit.
  3. Fuchs, W.R.: Denkmaschinen : mit einem Geleitwort von Professor Dr. Yehoshua Bar-Hillel (1968) 0.01
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    Footnote
    Weitere Ausgaben. Auch u.d.T.: Knaurs Buch der Denkmaschinen: Informationstheorie u. Kybernetik.
  4. Helbig, H.: Knowledge representation and the semantics of natural language (2014) 0.00
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    Footnote
    Vgl. auch die anderen Ausgabe in dt. u. engl. Sprache
  5. Pang, B.; Lee, L.: Opinion mining and sentiment analysis (2008) 0.00
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    Series
    Foundations and trends(r) in information retrieval; 2,1/2
  6. Sakr, S.; Wylot, M.; Mutharaju, R.; Le-Phuoc, D.; Fundulaki, I.: Linked data : storing, querying, and reasoning (2018) 0.00
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  7. Zur Konstruktion künstlicher Gehirne (2009) 0.00
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    Editor
    Ramacher, U.
  8. Keyser, P. de: Indexing : from thesauri to the Semantic Web (2012) 0.00
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    Date
    24. 8.2016 14:03:22
  9. Lenzen, M.: Künstliche Intelligenz : was sie kann & was uns erwartet (2018) 0.00
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    Date
    18. 6.2018 19:22:02

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