Search (11 results, page 1 of 1)

  • × classification_ss:"ST 300"
  1. McCorduck, P.: Denkmaschinen : die Geschichte der künstlichen Intelligenz (1987) 0.18
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    Classification
    Mat T 1091 / Künstliche Intelligenz
    SBB
    Mat T 1091 / Künstliche Intelligenz
  2. Schank, R.C.; Childers, P.G.: ¬Die Zukunft der künstlichen Intelligenz : Chancen und Risiken (1986) 0.14
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    Classification
    Mat T 1091 / Künstliche Intelligenz
    SBB
    Mat T 1091 / Künstliche Intelligenz
  3. Dreyfus, H.L.: ¬Die Grenzen künstlicher Intelligenz : was Computer nicht können (1985) 0.11
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    Classification
    Mat T 1091 / Künstliche Intelligenz
    SBB
    Mat T 1091 / Künstliche Intelligenz
  4. 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
  5. Semantische Technologien : Grundlagen - Konzepte - Anwendungen (2012) 0.01
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    Content
    Inhalt: 1. Einleitung (A. Dengel, A. Bernardi) 2. Wissensrepräsentation (A. Dengel, A. Bernardi, L. van Elst) 3. Semantische Netze, Thesauri und Topic Maps (O. Rostanin, G. Weber) 4. Das Ressource Description Framework (T. Roth-Berghofer) 5. Ontologien und Ontologie-Abgleich in verteilten Informationssystemen (L. van Elst) 6. Anfragesprachen und Reasoning (M. Sintek) 7. Linked Open Data, Semantic Web Datensätze (G.A. Grimnes, O. Hartig, M. Kiesel, M. Liwicki) 8. Semantik in der Informationsextraktion (B. Adrian, B. Endres-Niggemeyer) 9. Semantische Suche (K. Schumacher, B. Forcher, T. Tran) 10. Erklärungsfähigkeit semantischer Systeme (B. Forcher, T. Roth-Berghofer, S. Agne) 11. Semantische Webservices zur Steuerung von Prooduktionsprozessen (M. Loskyll, J. Schlick, S. Hodeck, L. Ollinger, C. Maxeiner) 12. Wissensarbeit am Desktop (S. Schwarz, H. Maus, M. Kiesel, L. Sauermann) 13. Semantische Suche für medizinische Bilder (MEDICO) (M. Möller, M. Sintek) 14. Semantische Musikempfehlungen (S. Baumann, A. Passant) 15. Optimierung von Instandhaltungsprozessen durch Semantische Technologien (P. Stephan, M. Loskyll, C. Stahl, J. Schlick)
  6. Ramge, T.: Mensch und Maschine : wie Künstliche Intelligenz und Roboter unser Leben verändern (2018) 0.01
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  7. Fensel, D.: Ontologies : a silver bullet for knowledge management and electronic commerce (2001) 0.01
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    Abstract
    Ontologies have been developed and investigated for quite a while now in artificial intelligente and natural language processing to facilitate knowledge sharing and reuse. More recently, the notion of ontologies has attracied attention from fields such as intelligent information integration, cooperative information systems, information retrieval, electronic commerce, and knowledge management. The author systematicaliy introduces the notion of ontologies to the non-expert reader and demonstrates in detail how to apply this conceptual framework for improved intranet retrieval of corporate information and knowledge and for enhanced Internet-based electronic commerce. In the second part of the book, the author presents a more technical view an emerging Web standards, like XML, RDF, XSL-T, or XQL, allowing for structural and semantic modeling and description of data and information.
  8. Münkel, A. (Red.): Computer.Gehirn : was kann der Mensch? Was können die Computer? ; Begleitpublikation zur Sonderausstellung im Heinz-Nixdorf-MuseumsForum (2001) 0.01
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    Content
    Enthält auch die Beiträge: BROOKS, R.A.: Künstliche Intelligenz und Roboterentwicklung - RITTER, H.: Die Evolution der künstlichen Intelligenz - ENGEL, A.K. u. W. SINGER: Neuronale Grundlagen des Bewußtseins - METZINGER, T.: Postbiotisches Bewußtsein: wie man ein künstliches Subjekt baut - und warum wir es nicht tun sollten - HARA, F.: Gesichtsrobotik und emotional computing
  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
  10. Euzenat, J.; Shvaiko, P.: Ontology matching (2010) 0.00
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    Date
    20. 6.2012 19:08:22
  11. New directions in cognitive information retrieval (2005) 0.00
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    Footnote
    Sämtliche Beiträge sind von hohem Niveau und bieten anspruchsvolle Lektüre. Verallgemeinert formuliert, fragen sie nach der Verknüpfung zwischen dem breiteren Kontext des Warum und Wie der menschlichen Informationssuche und den technischen bzw. sonstigen Randbedingungen, die die Interaktion zwischen Benutzern und Systemen bestimmen. Natürlich liegt hier kein Hand- oder Lehrbuch vor, sodass man - fairerweise - nicht von einer systematischen Behandlung dieses Themenbereichs oder einem didaktischen Aufbau ausgehen bzw. derlei erwarten darf. Das Buch bietet jedenfalls einen guten und vielfältigen Einstieg und Einblick in dieses interessante Forschungsgebiet. Fachlich einschlägige und größere allgemeine Bibliotheken sollten es daher jedenfalls in ihren Bestand aufnehmen. Schon die Rezension des oben zitierten zweiten Buches des Herausgeber-Duos Spink-Cole enthielt einen kritischen Hinweis auf das dortige Sachregister. Der vorliegende Band erfordert noch stärkere Nerven, denn der hier als "Index" bezeichnete Seitenfüller spottet geradezu jeder Beschreibung, umso mehr, als wir uns in einem informationswissenschaftlichen Kontext befi nden. Was soll man denn tatsächlich mit Einträgen wie "information" anfangen, noch dazu, wenn dazu über 150 verschiedene Seitenzahlen angegeben werden? Ähnlich verhält es sich mit anderen allgemeinen Begriffen wie z.B. "knowledge", "model", "tasks", "use", "users" - allesamt mit einer gewaltigen Menge von Seitenzahlen versehen und damit ohne Wert! Dieses der Leserschaft wenig dienliche Register ist wohl dem Verlag anzulasten, auch wenn die Herausgeber selbst seine Urheber gewesen sein sollten. Davon abgesehen wurde wieder einmal ein solide gefertigter Band vorgelegt, der allerdings wegen seines hohen Preis eher nur institutionelle Käufer ansprechen wird."

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