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  • × classification_ss:"ST 270 Informatik / Monographien / Software und -entwicklung / Datenbanken, Datenbanksysteme, Data base management, Informationssysteme"
  1. Stock, W.G.: Information Retrieval : Informationen suchen und finden (2007) 0.03 
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    Abstract
    Information Retrieval ist die Wissenschaft, die Technik und die Praxis des Suchens und Findens von Informationen. Drei Anwendungsfälle zeigen die Relevanz dieser Teildisziplin in der Informationswissenschaft und Informatik: Suchmaschinen im Internet, Recherchewerkzeuge in unternehmensinternen Netzwerken und elektronische Informationsdienste. Das Lehrbuch vermittelt umfassend und auf leicht verständliche Weise grundlegende Kenntnisse über Theorien, Modelle und Anwendungen des Information Retrieval. Stock stellt die Retrievalforschung als einheitliche Wissenschaftsdisziplin dar, die klassische Modelle sowie aktuelle Ansätze des Web Information Retrieval gleichermaßen umfasst. Neben dem Retrieval nach Texten behandelt das Buch weitere Medien wie Bilder, Videos, gesprochene Sprache und Musik.
    Content
    Enthält die Kapitel: - Grundlagen der Informationswissenschaft Ziel der Buchreihe - Informationswissenschaft - Information und Wissen - Propädeutik des Information Retrieval Geschichte des Information Retrieval - Grundbegriffe des Information Retrieval - Relevanz und Pertinenz - Dokumente - Typologie von Retrievalsystemen - Architektur eines Retrievalsystems - Boolesche Retrievalsysteme Boolesches Retrieval - Informetrische Analysen - Erweitertes Boolesches Retrieval - Informationslinguistik - Natural Language Processing n-Gramme - Worte - Phrasen, Eigennamen, Komposita - Begriffe - Anaphora - Fehlertolerantes Retrieval - Klassische Retrievalmodelle Textstatistik - Vektorraummodell - Probabilistisches Modell - Web Information Retrieval Linktopologie - Strukturinformationen in Dokumenten - Nutzer und Nutzung - Themenentdeckung und -verfolgung - Spezialprobleme des Information Retrieval Soziale Netzwerke und "small worlds" - Kontrolliertes Vokabular - Sprachübergreifendes Retrieval - Anfragedialog - Retrieval von Textstellen - Bild- und Tonretrieval
    Footnote
    Rez. in: BuB 59(2007) H.3, S.238-239 (J. Plieninger): " ... Wertvoll ist bei Stocks »Information Retrieval« auch der Blick auf die Informationsbedürfnisse und das Verhalten der Benutzer. Er beschreibt auch daraus folgende unterschiedliche Fragestellungen für die Recherche, etwa ob es sich um ein konkretes Informationsbedürfnis handelt (Concrete Information Need - CIN) oder um ein problemorientiertes (Problem Oriented Information Need - POIN; Seite 51 f.). Das Buch geht über das hinaus, was man als Bibliothekar/in sonst auf dem Suchsektor zu lesen gewohnt ist - genau die richtige Mischung an Informationen zur vielgestaltigen Methodik, Hintergrundinformationen und Schilderung praktischer Anwendungsbereiche. Insofern stellt die Lektüre dieses grundlegenden Buches eine Bereicherung für alle dar, die mit der Recherche im weitesten Sinne zu tun haben: Neben Informationswissenschaftlern und Studierenden dieses Faches sind es vor allem Bibliothekare, die mit dem Suchen und Finden sowie der Schulung in diesem Bereich beauftragt sind."
    Weitere Rez. in: Information - Wissenschaft und Praxis 58(2007) H.5, S.318-319 (R. Ferber): "Mit Information Retrieval - Informationen suchen und finden von Wolfgang G. Stock liegt ein ca. 600-seitiges Lehrbuch aus dem Oldenbourg Verlag vor. Der Einleitung kann man entnehmen, dass es sich dabei nur um den ersten Band einer vierbändigen Reihe zur Informationswissenschaft handelt. Der Klappentext verspricht die umfassende Vermittlung grundlegender Kenntnisse über Theorien, Modelle und Anwendungen des Information Retrieval, dargestellt als einheitliche Wissenschaftsdisziplin, die klassische Modelle und aktuelle Ansätze des Web Information Retrieval umfasst. Wie sein Umfang bereits erwarten lässt, bietet das Buch einen breiten Zugang zum Thema Information Retrieval. Es ist in weiten Teilen in einem erzählenden und kommunikativen Stil geschrieben, der durch viele Beispiele und rhetorische Fragen den Zugang zum Thema erleichtert. . . . Insgesamt bietet das Buch eine gute und ausführliche Einführung in das Thema Information Retrieval. Seine Stärke sind die Breite der Quellen und dargestellten Ansätze, die ausführliche Einführung in die verschiedenen Themen, Fragestellungen und Lösungsansätze, insbesondere in den Bereichen Textstatistik und Informetrie. Es ist gut zu lesen, auch wenn man sich manchmal etwas mehr inhaltliche Stringenz wünschen würde. Die Merk(ab) sätze am Schluss jedes Kapitels erleichtern auch dem eiligen Leser die Orientierung in dem durchaus umfangreichen Werk."
    LCSH
    Information storage and retrieval systems
    Information retrieval
    RSWK
    Information Retrieval / Lehrbuch
    Subject
    Information Retrieval / Lehrbuch
    Information storage and retrieval systems
    Information retrieval
  2. Poetzsch, E.: Information Retrieval : Einführung in Grundlagen und Methoden (2001) 0.02 
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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
    LCSH
    Information Retrieval / Einführung (SBPK)
    RSWK
    Information Retrieval
    Series
    Materialien zur Information und Dokumentation; Bd.5
    Subject
    Information Retrieval
    Information Retrieval / Einführung (SBPK)
  3. Blair, D.C.: Language and representation in information retrieval (1991) 0.01 
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    Abstract
    Information or Document Retrieval is the subject of this book. It is not an introductory book, although it is self-contained in the sense that it is not necessary to have a background in the theory or practice of Information Retrieval in order to understand its arguments. The book presents, as clearly as possible, one particular perspective on Information Retrieval, and attempts to say that certain aspects of the theory or practice of the management of documents are more important than others. The majority of Information Retrieval research has been aimed at the more experimentally tractable small-scale systems, and although much of that work has added greatly to our understanding of Information Retrieval it is becoming increasingly apparent that retrieval systems with large data bases of documents are a fundamentally different genre of systems than small-scale systems. If this is so, which is the thesis of this book, then we must now study large information retrieval systems with the same rigor and intensity that we once studied small-scale systems. Hegel observed that the quantitative growth of any system caused qualitative changes to take place in its structure and processes.
    COMPASS
    Information retrieval
    LCSH
    Information Retrieval
    RSWK
    Information Retrieval
    Subject
    Information retrieval
    Information Retrieval
    Information Retrieval
    Theme
    Verbale Doksprachen im Online-Retrieval
  4. Grossman, D.A.; Frieder, O.: Information retrieval : algorithms and heuristics (2004) 0.01 
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    Abstract
    Interested in how an efficient search engine works? Want to know what algorithms are used to rank resulting documents in response to user requests? The authors answer these and other key information on retrieval design and implementation questions is provided. This book is not yet another high level text. Instead, algorithms are thoroughly described, making this book ideally suited for both computer science students and practitioners who work on search-related applications. As stated in the foreword, this book provides a current, broad, and detailed overview of the field and is the only one that does so. Examples are used throughout to illustrate the algorithms. The authors explain how a query is ranked against a document collection using either a single or a combination of retrieval strategies, and how an assortment of utilities are integrated into the query processing scheme to improve these rankings. Methods for building and compressing text indexes, querying and retrieving documents in multiple languages, and using parallel or distributed processing to expedite the search are likewise described. This edition is a major expansion of the one published in 1998. Neuaufl. 2005: Besides updating the entire book with current techniques, it includes new sections on language models, cross-language information retrieval, peer-to-peer processing, XML search, mediators, and duplicate document detection.
    LCSH
    Information storage and retrieval systems
    RSWK
    Algorithmus / Heuristik / Information Retrieval
    Information Retrieval / Theoretische Informatik (HBZ)
    Information Retrieval (BVB)
    Series
    Kluwer international series on information retrieval ; 15
    Subject
    Algorithmus / Heuristik / Information Retrieval
    Information Retrieval / Theoretische Informatik (HBZ)
    Information Retrieval (BVB)
    Information storage and retrieval systems
  5. Glöckner-Rist, A.: Suchfragen im Information Retrieval : eine empirische Untersuchung zum Rechercheverhalten von Informationsvermittlern und Endbenutzern (1992) 0.01 
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    Abstract
    Das Information Retrieval steht in theoretischer und praktischer Hinsicht im Zentrum der Informationswissenschaft. Das Buch vereinigt beide Bereiche, indem es seinen praktischen Ausgang von realen Situationen der Online-Informationsvermittlung nimmt und zugleich einen wichtigen Beitrag zu einer Theorie der Frageformulierung in Information Retrieval an sich leistet. Mit 'realen Situationen' sind mitprotokollierte Online-Sitzungen bzw. CD-ROM Recherchen gemeint. Diese Recherchen wurden teils kooperativ, d.h. zusammen mit den Endbenutzern, oder nicht-kooperativ, d.h. alleine von professionellen Informationsvermittlern, durchgeführt und in der Arbeit ausgewertet. Die Studie ist damit der sog. verhaltensanalytischen Richtung des Information Retrieval zuzurechnen
    RSWK
    Information Retrieval / Fragetechnik (GBV)
    Information Retrieval (BVB)
    Information Retrieval / Benutzer / Informationsvermittlung (BVB)
    Subject
    Information Retrieval / Fragetechnik (GBV)
    Information Retrieval (BVB)
    Information Retrieval / Benutzer / Informationsvermittlung (BVB)
  6. Survey of text mining : clustering, classification, and retrieval (2004) 0.01 
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    Abstract
    Extracting content from text continues to be an important research problem for information processing and management. Approaches to capture the semantics of text-based document collections may be based on Bayesian models, probability theory, vector space models, statistical models, or even graph theory. As the volume of digitized textual media continues to grow, so does the need for designing robust, scalable indexing and search strategies (software) to meet a variety of user needs. Knowledge extraction or creation from text requires systematic yet reliable processing that can be codified and adapted for changing needs and environments. This book will draw upon experts in both academia and industry to recommend practical approaches to the purification, indexing, and mining of textual information. It will address document identification, clustering and categorizing documents, cleaning text, and visualizing semantic models of text.
    LCSH
    Data mining ; Information retrieval
    Subject
    Data mining ; Information retrieval
  7. Henzler, R.G.: Information und Dokumentation : Sammeln, Speichern und Wiedergewinnen von Fachinformation in Datenbanken (1992) 0.00 
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    RSWK
    Information und Dokumentation
    Information / Dokumentation (ÖVK)
    Information / Lehrbuch (ÖVK)
    Information und Dokumentation / Datenbank (BVB)
    Information Retrieval / Datenbank (BVB)
    Subject
    Information und Dokumentation
    Information / Dokumentation (ÖVK)
    Information / Lehrbuch (ÖVK)
    Information und Dokumentation / Datenbank (BVB)
    Information Retrieval / Datenbank (BVB)
  8. Lippold, H.; Hett, H.M.; Hilgenfeldt, J.; Klagge, D.; Nett, W.: Elektronische Dokumentenverwaltung in Klein- und Mittelbetrieben (1993) 0.00 
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  9. Schaarschmidt, R.: Archivierung in Datenbanksystemen : Konzept und Sprache (2001) 0.00 
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    Theme
    Information Resources Management

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