Search (44 results, page 2 of 3)

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Content

B: Methodisches Bernard Bekavac: Web-Technologien - Rolf Assfalg: Metadaten - Ulrich Reimer: Wissensorganisation - Thomas Mandl: Text Mining und Data Mining - Harald Reiterer, Hans-Christian Jetter: Informationsvisualisierung - Katrin Weller: Ontologien - Stefan Gradmann: Semantic Web und Linked Open Data - Isabella Peters: Benutzerzentrierte Erschließungsverfahre - Ulrich Reimer: Empfehlungssysteme - Udo Hahn: Methodische Grundlagen der Informationslinguistik - Klaus Lepsky: Automatische Indexierung - Udo Hahn: Automatisches Abstracting - Ulrich Heid: Maschinelle Übersetzung - Bernd Ludwig: Spracherkennung - Norbert Fuhr: Modelle im Information Retrieval - Christa Womser-Hacker: Kognitives Information Retrieval - Alexander Binder, Frank C. Meinecke, Felix Bießmann, Motoaki Kawanabe, Klaus-Robert Müller: Maschinelles Lernen, Mustererkennung in der Bildverarbeitung
C: Informationsorganisation Helmut Krcmar: Informations- und Wissensmanagement - Eberhard R. Hilf, Thomas Severiens: Vom Open Access für Dokumente und Daten zu Open Content in der Wissenschaft - Christa Womser-Hacker: Evaluierung im Information Retrieval - Joachim Griesbaum: Online-Marketing - Nicola Döring: Modelle der Computervermittelten Kommunikation - Harald Reiterer, Florian Geyer: Mensch-Computer-Interaktion - Steffen Staab: Web Science - Michael Weller, Elena Di Rosa: Lizenzierungsformen - Wolfgang Semar, Sascha Beck: Sicherheit von Informationssystemen - Stefanie Haustein, Dirk Tunger: Sziento- und bibliometrische Verfahren
D: Informationsinfrastruktur Dirk Lewandowski: Suchmaschinen - Ben Kaden: Elektronisches Publizieren - Jens Olf, Uwe Rosemann: Dokumentlieferung - Reinhard Altenhöner, Sabine Schrimpf: Langzeitarchivierung - Hermann Huemer: Normung und Standardisierung - Ulrike Spree: Wörterbücher und Enzyklopädien - Joachim Griesbaum: Social Web - Jens Klump, Roland Bertelmann: Forschungsdaten - Michael Kerres, Annabell Preussler, Mandy Schiefner-Rohs: Lernen mit Medien - Angelika Menne-Haritz: Archive - Axel Ermert, Karin Ludewig: Museen - Hans-Christoph Hobohm: Bibliothek im Wandel - Thomas Breyer-Mayländer: Medien, Medienwirtschaft - Helmut Wittenzellner: Transformation von Buchhandel, Verlag und Druck - Elke Thomä, Heike Schwanbeck: Patentinformation und Patentinformationssysteme

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Abstract

Few can imagine a world without telephones or televisions; many depend an computers and the Internet as part of daily life. Without scientific theory, these developments would not have been possible. In this exceptionally clear and engaging introduction to the philosophy of science, James Ladyman explores the philosophical questions that arise when we reflect an the nature of the scientific method and the knowledge it produces. He discusses whether fundamental philosophical questions about knowledge and reality might be answered by science, and considers in detail the debate between realists and antirealists about the extent of scientific knowledge. Along the way, central topics in the philosophy of science, such as the demarcation of science from non-science, induction, confirmation and falsification, the relationship between theory and observation, and relativism, are all addressed. Important and complex current debates over underdetermination, inference to the best explanation and the implications of radical theory change are clarified and clearly explained for these new to the subject. The style is refreshing and unassuming, bringing to life the essential questions in the philosophy of science. Ideal for any student of philosophy or science, this book requires no previous knowledge of either discipline. It contains the following textbook features: - suggestions for further reading - cross-referencing with an extensive bibliography.

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Content

Our world of information -- Foundations of information science and technology -- Information needs, seeking, and use -- Representation of information -- Organization of information -- Computers and networks -- Structured information systems -- Information system applications -- Evaluation of information systems -- Information management -- Publication and information technologies -- Information policy -- The information professions -- Information theory.

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Series

Heyne Business; 22/1019

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Date

25. 3.2019 18:15:22

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Date

26. 7.2002 14:01:22

Footnote

Rez. in: Journal of documentation 49(1993) no.1, S.68-70. (A. Maltby); Journal of librarianship and information science 1993, S.108-109 (A.G. Curwen); Herald of library science 33(1994) nos.1/2, S.85 (P.N. Kaula); Knowledge organization 22(1995) no.1, S.45 (M.P. Satija)

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Content

Teil 1: Grundlagen des Information Retrieval: Schwerpunkte des Information Retrieval mit Relevanz für die praktische Recherchedurchführung: Arbeitsschritte einer Recherche, Voraussetzungen für Online-Recherchen, Überblick über Arten von Datenbanken und über Hosts, Benutzerhilfen, Softwaretools, Retrievalsprachen und Kosten; Teil 2: Methoden des Information Retrieval: Einführung in die Methoden des Information Retrieval anhand ausgewählter Beispiele zu Retrievalsprachen, windows-basierten Retrievaltools und Web-Search-Möglichkeiten mittels hostspezifischer Suchoberflächen

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Footnote

Zugleich Dissertation Univ. Düsseldorf. - Rez. in: ZfBB. 22(1975) S.53-57 (H.-A. Koch)

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Date

15. 7.2002 20:48:22

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Signature

77 TWP 3911(2)+22

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Footnote

Rez. in: Knowledge organization 22(1995) no.3/4, S.178-179 (M.P. Satija); Journal of documentation 51(1995) no.4, S.437-439 (R. Brunt)

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Object

DDC-22

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Abstract

Im ersten Teil "Grundlagen des Information Retrieval" werden Schwerpunkte des Information Retrieval unter dem Aspekt ihrer Relevanz für die praktische Recherchedurchführung behandelt. Im zweiten Teil "Methoden des Information Retrieval" erfolgt eine umfassende Einführung in die verschiedenen Methoden des Information Retrieval anhand ausgewählter Retrievalsprachen und Web-Search-Möglichkeiten mittels hostspezifischer Suchoberflächen. Im dritten Teil "Fachbezogenes Information Retrieval" wird erstmalig in dieser Auflage das fachbezogene Information Retrieval mit den Schwerpunkten "Wirtschaftsinformation" und "Naturwissenschaftlich-technische Information" einbezogen.

Footnote

Rez. in: Information: Wissenschafft & Praxis 56(2005) H.5/6, S.337 (W. Ratzek): "Das zentrale Thema dieses Buches ist das Information Retrieval in Fachinformationsdatenbanken. Seit der ersten Auflage von 1998 liegt nun bereits eine aktualisierte 4. Auflage vor. Neu ist beispielsweise das Kapitel "Fachbezogenes Information Retrieval", das bisher in anderen Büchern der Schriftenreihe behandelt worden war. Die drei Teile des Buches behandeln - die "Grundlagen des Information Retrieval", d.h. u.a. Grundbegriffe, Arten und Anbieter von Datenbanken, Vorbereitung und Durchführung von Recherchen, Retrievalsprachen; - die "Methoden des Information Retrieval", hier geht es im Wesentlichen um die Anwendung und Funktion des Information Retrieval, d.h. Kommando-Retrieval, widowsbasierte Retrievaltools und Web-Search; - "Fachbezogenes Information Retrieval", wobei der Schwerpunkt auf der Wirtschaftsinformation liegt. Zur Gestaltung des Buches heißt es (S. 6): "Für die Darstellung der Inhalte wurde von Anfang an eine komprimierte Form gewählt, die den Studierenden zum einen in der gedruckten Buchausgabe als Begleitmaterial zur Lehre dienen soll und zum anderen die Grundlage für eine Online-Tutorial liefert, das sich gegenwärtig in der Testphase befindet." Damit sind Zielsetzung und Zielgruppe des Bandes benannt. Falls dieses Buch auch nicht-studentische Zielgruppen ansprechen soll, dann erscheint mir, aber auch einer Reihe von Kollegen, die Präsentationsform verbesserungswürdig. Die "komprimierte Form" erinnert an unkommentierte Vorlesungsfolien. Information Retrieval als Werkzeug für Recherchen in Fachinformationsdatenbanken erscheint vor dem Hintergrund der Diskussion über Informationsressourcen für das Wissensmanagements in Organisationen und deren Globalisierungstendenzen erweiterungsbedürftig. Das Konzept des Verlags, eine Schriftenreihe "Materialien zur Information und Dokumentation" herauszugeben, ist zu begrüßen."

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Abstract

"Clearly details the conceptual and practical notions of controlled vocabularies. . provides a crash course for newcomers and offers experienced practitioners a common frame of reference. A valuable book." - Christine Connors, TriviumRLG LLC The Accidental Taxonomist is the most comprehensive guide available to the art and science of building information taxonomies. Heather Hedden-one of today's leading writers, instructors, and consultants on indexing and taxonomy topics-walks readers through the process, displaying her trademark ability to present highly technical information in straightforward, comprehensible English. Drawing on numerous real-world examples, Hedden explains how to create terms and relationships, select taxonomy management software, design taxonomies for human versus automated indexing, manage enterprise taxonomy projects, and adapt taxonomies to various user interfaces. The result is a practical and essential guide for information professionals who need to effectively create or manage taxonomies, controlled vocabularies, and thesauri. "A wealth of descriptive reference content is balanced with expert guidance. . Open The Accidental Taxonomist to begin the learning process or to refresh your understanding of the depth and breadth of this demanding discipline." - Lynda Moulton, Principal Consultant, LWM Technology Services "From the novice taxonomist to the experienced professional, all will find helpful, practical advice in The Accidental Taxonomist." - Trish Yancey, TCOO, Synaptica, LLC "This book squarely addresses the growing demand for and interest in taxonomy. ...Hedden brings a variety of background experience, including not only taxonomy construction but also abstracting and content categorization and creating back-of-the-book indexes. These experiences serve her well by building a broad perspective on the similarities as well as real differences between often overlapping types of work." - Marjorie M. K. Hlava, President and Chairman, Access Innovations, Inc., and Chair, SLA Taxonomy Division

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Abstract

The Elements of Knowledge Organization is a unique and original work introducing the fundamental concepts related to the field of Knowledge Organization (KO). There is no other book like it currently available. The author begins the book with a comprehensive discussion of "knowledge" and its associated theories. He then presents a thorough discussion of the philosophical underpinnings of knowledge organization. The author walks the reader through the Knowledge Organization domain expanding the core topics of ontologies, taxonomies, classification, metadata, thesauri and domain analysis. The author also presents the compelling challenges associated with the organization of knowledge. This is the first book focused on the concepts and theories associated with KO domain. Prior to this book, individuals wishing to study Knowledge Organization in its broadest sense would generally collocate their own resources, navigating the various methods and models and perhaps inadvertently excluding relevant materials. This text cohesively links key and related KO material and provides a deeper understanding of the domain in its broadest sense and with enough detail to truly investigate its many facets. This book will be useful to both graduate and undergraduate students in the computer science and information science domains both as a text and as a reference book. It will also be valuable to researchers and practitioners in the industry who are working on website development, database administration, data mining, data warehousing and data for search engines. The book is also beneficial to anyone interested in the concepts and theories associated with the organization of knowledge. Dr. Richard P. Smiraglia is a world-renowned author who is well published in the Knowledge Organization domain. Dr. Smiraglia is editor-in-chief of the journal Knowledge Organization, published by Ergon-Verlag of Würzburg. He is a professor and member of the Information Organization Research Group at the School of Information Studies at University of Wisconsin Milwaukee.

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Abstract

For its third edition this standard text on knowledge organization and retrieval has been extensively revised and restructured to accommodate the increased significance of electronic information resources. With the help of many new sections on topics such as information retrieval via the Web, metadata and managing information retrieval systems, the book explains principles relating to hybrid print-based and electronic, networked environments experienced by today's users. Part I, Information Basics, explores the nature of information and knowledge and their incorporation into documents. Part II, Records, focuses specifically on electronic databases for accessing print or electronic media. Part III, Access, explores the range of tools for accessing information resources and covers interfaces, indexing and searching languages, classification, thesauri and catalogue and bibliographic access points. Finally, Part IV, Systems, describes the contexts through which knowledge can be organized and retrieved, including OPACs, the Internet, CD-ROMs, online search services and printed indexes and documents. This book is a comprehensive and accessible introduction to knowledge organization for both undergraduate and postgraduate students of information management and information systems

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Date

22. 4.2007 10:07:51

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Abstract

Automatisches Klassifizieren von Textdokumenten bedeutet die maschinelle Zuordnung jeweils einer oder mehrerer Notationen eines vorgegebenen Klassifikationssystems zu natürlich-sprachlichen Texten mithilfe eines geeigneten Algorithmus. In der vorliegenden Arbeit wird in Form einer umfassenden Literaturstudie ein aktueller Kenntnisstand zu den Ein-satzmöglichkeiten des automatischen Klassifizierens für die sachliche Erschliessung von elektronischen Dokumenten, insbesondere von Web-Ressourcen, erarbeitet. Dies betrifft zum einen den methodischen Aspekt und zum anderen die in relevanten Projekten und Anwendungen gewonnenen Erfahrungen. In methodischer Hinsicht gelten heute statistische Verfahren, die auf dem maschinellen Lernen basieren und auf der Grundlage bereits klassifizierter Beispieldokumente ein Modell - einen "Klassifikator" - erstellen, das zur Klassifizierung neuer Dokumente verwendet werden kann, als "state-of-the-art". Die vier in den 1990er Jahren an den Universitäten Lund, Wolverhampton und Oldenburg sowie bei OCLC (Dublin, OH) durchgeführten "grossen" Projekte zum automatischen Klassifizieren von Web-Ressourcen, die in dieser Arbeit ausführlich analysiert werden, arbeiteten allerdings noch mit einfacheren bzw. älteren methodischen Ansätzen. Diese Projekte bedeuten insbesondere aufgrund ihrer Verwendung etablierter bibliothekarischer Klassifikationssysteme einen wichtigen Erfahrungsgewinn, selbst wenn sie bisher nicht zu permanenten und qualitativ zufriedenstellenden Diensten für die Erschliessung elektronischer Ressourcen geführt haben. Die Analyse der weiteren einschlägigen Anwendungen und Projekte lässt erkennen, dass derzeit in den Bereichen Patent- und Mediendokumentation die aktivsten Bestrebungen bestehen, Systeme für die automatische klassifikatorische Erschliessung elektronischer Dokumente im laufenden operativen Betrieb einzusetzen. Dabei dominieren jedoch halbautomatische Systeme, die menschliche Bearbeiter durch Klassifizierungsvorschläge unterstützen, da die gegenwärtig erreichbare Klassifizierungsgüte für eine Vollautomatisierung meist noch nicht ausreicht. Weitere interessante Anwendungen und Projekte finden sich im Bereich von Web-Portalen, Suchmaschinen und (kommerziellen) Informationsdiensten, während sich etwa im Bibliothekswesen kaum nennenswertes Interesse an einer automatischen Klassifizierung von Büchern bzw. bibliographischen Datensätzen registrieren lässt. Die Studie schliesst mit einer Diskussion der wichtigsten Projekte und Anwendungen sowie einiger im Zusammenhang mit dem automatischen Klassifizieren relevanter Fragestellungen und Themen.

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Date

25. 7.2002 21:22:31

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Content

Enthält die Kapitel: 1. Basic concepts of information retrieval systems, 2. Database technology, 3. Bibliographic formats, 4. Subject analysis and representation, 5. Automatic indexing and file organization, 6. Vocabulary control, 7. Abstracts and abstracting, 8. Searching and retrieval, 9. Users of information retrieval, 10. Evaluation of information retrieval systems, 11. Evaluation experiments, 12. Online information retrieval, 13. CD-ROM information retrieval, 14. Trends in CD-ROM and online information retrieval, 15. Multimedia information retrieval, 16. Hypertext and hypermedia systems, 17. Intelligent information retrieval, 18. Natural language processing and information retrieval, 19. Natural language interfaces, 20. Natural language text processing and retrieval systems, 21. Problems and prospects of natural language processing systems, 22. The Internet and information retrieval, 23. Trends in information retrieval.