Literatur zur Informationserschließung

Diese Datenbank enthält über 40.000 Dokumente zu Themen aus den Bereichen Formalerschließung – Inhaltserschließung – Information Retrieval.

© 2015 W. Gödert, TH Köln, Institut für Informationswissenschaft / Powered by litecat, BIS Oldenburg (Stand: 28. April 2022)

Suchergebnisse

• 1
  Arp, R. ; Smith, B. ; Spear, A.D.: Building ontologies with basic formal ontology.
  Cambridge : MIT Press, 2015. XXIV, 220 S.
  ISBN 978-0-262-52781-1
  
  Abstract: In the era of "big data," science is increasingly information driven, and the potential for computers to store, manage, and integrate massive amounts of data has given rise to such new disciplinary fields as biomedical informatics. Applied ontology offers a strategy for the organization of scientific information in computer-tractable form, drawing on concepts not only from computer and information science but also from linguistics, logic, and philosophy. This book provides an introduction to the field of applied ontology that is of particular relevance to biomedicine, covering theoretical components of ontologies, best practices for ontology design, and examples of biomedical ontologies in use. After defining an ontology as a representation of the types of entities in a given domain, the book distinguishes between different kinds of ontologies and taxonomies, and shows how applied ontology draws on more traditional ideas from metaphysics. It presents the core features of the Basic Formal Ontology (BFO), now used by over one hundred ontology projects around the world, and offers examples of domain ontologies that utilize BFO. The book also describes Web Ontology Language (OWL), a common framework for Semantic Web technologies. Throughout, the book provides concrete recommendations for the design and construction of domain ontologies.
  
  Inhalt: What Is an Ontology? - Kinds of Ontologies and the Role of Taxonomies - Principles of Best Practice 1: Domain Ontology Design - Principles of Best Practice II: Terms, Definitions, and Classification - Introduction to Basic Formal Ontology I: Continuants - Introduction to Basic Formal Ontology II: Occurrents - The Ontology of Relations - Basic Formal Ontology at Work - Appendix on Implementation: Languages, Editors, Reasoners, Browsers, Tools for Reuse - Glossary - Web Links Mentioned in the Text Including Ontologies, Research Groups, Software, and Reasoning Tools
  
  Anmerkung: Rez. in: JASIST 68(2017) no.3, S.801-804 (M. Frické).
  
  Themenfeld: Wissensrepräsentation
  
  RSWK: Ontologie
  BK: 06.74 (Informationssysteme)
  DDC: 006.332
  GHBS: TZB
  LCC: Q387.4
  RVK: ST 304
  
• 2
  Hagengruber, R. u. U.V. Riss (Hrsg.): Philosophy, computing and information science.
  London : Pickering & Chatto, 2014. XIII, 275 S.
  ISBN 978-1-84893-508-2 * 978-1-78144-481-8
  (History and philosophy of technoscience; 3)
  
  Abstract: Over the last four decades computers and the internet have become an intrinsic part of all our lives, but this speed of development has left related philosophical enquiry behind. Featuring the work of computer scientists and philosophers, these essays provide an overview of an exciting new area of philosophy that is still taking shape.
  
  Inhalt: 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
  
  Anmerkung: Vgl.: https://www.cambridge.org/core/books/philosophy-computing-and-information-science/EFE440F6D9884BD733C19D1BF535045B.
  
  Themenfeld: Information
  Wissenschaftsfach: Informationswissenschaft ; Informatik ; Philosophie
  
  LCSH: Ontologies (Information retrieval) ; Knowledge representation (Information theory) ; Knowledge, Theory of
  RSWK: Technikphilosophie / Künstliche Intelligenz / Informations- und Dokumentationswissenschaft / Aufsatzsammlung ; Daten / Information / Wissen
  BK: 54.08 Informatik in Beziehung zu Mensch und Gesellschaft
  DDC: 006.3 / dc23 ; 530.12
  GHBS: TTT (FH K) ; HNX (PB)
  LCC: Q387.2 ; QC174.12 .P435 2014
  
• 3
  Staab, S. u. R. Studer (Hrsg.): Handbook on ontologies.
  Berlin : Springer, 2004. XV, 660 S.
  ISBN 3-540-40834-7
  (International handbook on information systems)
  
  Abstract: An ontology is a description (like a formal specification of a program) of concepts and relationships that can exist for an agent or a community of agents. The concept is important for the purpose of enabling knowledge sharing and reuse. The Handbook on Ontologies provides a comprehensive overview of the current status and future prospectives of the field of ontologies. The handbook demonstrates standards that have been created recently, it surveys methods that have been developed and it shows how to bring both into practice of ontology infrastructures and applications that are the best of their kind.
  
  Themenfeld: Semantic Web ; Wissensrepräsentation
  
  LCSH: Knowledge representation (Information theory) ; Conceptual structures (Information theory) ; Ontology ; Database design ; Expert systems (Computer science)
  RSWK: Informationssystem / Wissenstechnik / Ontologie / Aufsatzsammlung ; Semantic Web / Wissensbasiertes System / Ontologie / Aufsatzsammlung ; Informationssystem / Konzeptionelle Modellierung / Ontologie / Aufsatzsammlung
  BK: 54.72 / Künstliche Intelligenz ; 54.62 / Datenstrukturen
  DDC: 003/.54 / dc22
  GHBS: TVU (DU) ; TWY (DU) ; TVUR (SI) ; TVB (W) ; TZH (HA) ; TYP (HA) ; TXV (FH K)
  LCC: Q387.H36 2004
  RVK: ST 300 Informatik / Monographien / Künstliche Intelligenz / Allgemeines ; QP 345 Wirtschaftswissenschaften / Allgemeine Betriebswirtschaftslehre / Unternehmensführung / Organisation / Informationswesen. Informationssysteme ; ST 302 Informatik / Monographien / Künstliche Intelligenz / Expertensysteme; Wissensbasierte Systeme ; ST 265 (BVB)
  
• 4
  Hodgson, J.P.E.: Knowledge representation and language in AI.
  Chichester, UK : Horwood, 1991. 230 S.
  ISBN 0-13-515123-6
  (Ellis Horwood series in artificial intelligence)
  
  Abstract: The aim of this book is to highlight the relationship between knowledge representation and language in artificial intelligence, and in particular on the way in which the choice of representation influences the language used to discuss a problem - and vice versa. Opening with a discussion of knowledge representation methods, and following this with a look at reasoning methods, the author begins to make his case for the intimate relationship between language and representation. He shows how each representation method fits particularly well with some reasoning methods and less so with others, using specific languages as examples. The question of representation change, an important and complex issue about which very little is known, is addressed. Dr Hodgson gathers together recent work on problem solving, showing how, in some cases, it has been possible to use representation changes to recast problems into a language that makes them easier to solve. The author maintains throughout that the relationships that this book explores lie at the heart of the construction of large systems, examining a number of the current large AI systems from the viewpoint of representation and language to prove his point.
  
  Themenfeld: Wissensrepräsentation ; Computerlinguistik
  Wissenschaftsfach: Informatik
  
  Compass: Artificial intelligence
  LCSH: Knowledge / representation (Information theory) ; Computational linguistics ; Artificial intelligence
  RSWK: Wissensrepräsentation / Künstliche Intelligenz (BVB) ; Künstliche Intelligenz / Programmiersprache (BVB) ; Wissensrepräsentation / Sprache (BVB)
  BK: 54.72 / Künstliche Intelligenz
  DDC: 006.3 ; 003'.54
  GHBS: TVU (DU) ; HRH (PB)
  LCC: Q387
  RVK: ST 285 Informatik / Monographien / Software und -entwicklung / Computer supported cooperative work (CSCW), Groupware