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  • × subject_ss:"Ontologies (Information retrieval)"
  1. Euzenat, J.; Shvaiko, P.: Ontology matching (2010) 0.01
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    Date
    20. 6.2012 19:08:22
  2. Stuart, D.: Practical ontologies for information professionals (2016) 0.00
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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
  3. Philosophy, computing and information science (2014) 0.00
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    Content
    Introduction: Philosophy's Relevance in Computing and Information Science - Ruth Hagengruber and Uwe V.Riss Part I: Philosophy of Computing and Information 1 The Fourth Revolution in our Self-Understanding - Luciano Floridi -- 2 Information Transfer as a Metaphor - Jakob Krebs -- 3 With Aristotle towards a Differentiated Concept of Information? - Uwe Voigt -- 4 The Influence of Philosophy on the Understanding of Computing and Information - Klaus Fuchs-Kittowski -- Part II: Complexity and System Theory 5 The Emergence of Self-Conscious Systems: From Symbolic AI to Embodied Robotics - Klaus Mainzer -- 6 Artificial Intelligence as a New Metaphysical Project - Aziz F. Zambak Part III: Ontology 7 The Relevance of Philosophical Ontology to Information and Computer Science - Barry Smith -- 8 Ontology, its Origins and its Meaning in Information Science - Jens Kohne -- 9 Smart Questions: Steps towards an Ontology of Questions and Answers - Ludwig Jaskolla and Matthias Rugel Part IV: Knowledge Representation 10 Sophisticated Knowledge Representation and Reasoning Requires Philosophy - Selmer Bringsjord, Micah Clark and Joshua Taylor -- 11 On Frames and Theory-Elements of Structuralism Holger Andreas -- 12 Ontological Complexity and Human Culture David J. Saab and Frederico Fonseca Part V: Action Theory 13 Knowledge and Action between Abstraction and Concretion - Uwe V.Riss -- 14 Action-Directing Construction of Reality in Product Creation Using Social Software: Employing Philosophy to Solve Real-World Problems - Kai Holzweifiig and Jens Krüger -- 15 An Action-Theory-Based Treatment ofTemporal Individuals - Tillmann Pross -- 16 Four Rules for Classifying Social Entities - Ludger Jansen Part VI: Info-Computationalism 17 Info-Computationalism and Philosophical Aspects of Research in Information Sciences - Gordana Dodig-Crnkovic -- 18 Pancomputationalism: Theory or Metaphor ? - Vincent C. Mutter Part VII: Ethics 19 The Importance of the Sources of Professional Obligations - Francis C. Dane
  4. Lu, J.; Xu, Q.: Ontologies and big data considerations for effective intelligence (2017) 0.00
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  5. Stuckenschmidt, H.; Harmelen, F. van: Information sharing on the semantic web (2005) 0.00
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  6. King, B.E.; Reinold, K.: Finding the concept, not just the word : a librarian's guide to ontologies and semantics (2008) 0.00
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    Footnote
    Rez. in: Mitt. VÖB 62(2009) H.2, S.92-96 (O. Oberhauser): "... Ein kurzes Fazit: Ein lesenswertes Buch, das insbesondere jenen, die sich bislang noch nicht mit Ontologien und semantischen Techniken befasst haben, einen nützlichen ersten Einblick zu geben vermag. Nichts hingegen für Spezialisten, denn der Text kann auf den verfügbaren Seiten an keiner Stelle wirklich in die Tiefe gehen. Insbesondere die beiden ersten Hauptabschnitte sind auch als Lehrtext gut geeignet, selbst wenn an verschiedenen Stellen die Präzision zu wünschen übrig lässt. Gar zu nonchalant wird hier nämlich mit Grundbegriffen der Wissensorganisation umgegangen - z.B. wird der Informationsthesaurus nicht ausreichend vom Synonymenwörterbuch (Roget's) abgegrenzt, Klassifikationssysteme werden durchweg als Taxonomien (mit reduziertem Anspruchsniveau) verkauft. Und: zum Themenbereich "automatisches Klassifizieren" fällt den Autorinnen lediglich das reichlich angestaubte System Scorpion von OCLC ein. Mit diesen kleinen Einschränkungen kann das Werk aber durchaus empfohlen werden. Der Ladenpreis ist natürlich für Studierende bzw. persönliche Käufer zu hoch, doch das Buch wird wohl ohnedies vornehmlich institutionelle Abnehmer finden."

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