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
  Horch, A. ; Kett, H. ; Weisbecker, A.: Semantische Suchsysteme für das Internet : Architekturen und Komponenten semantischer Suchmaschinen.
  Stuttgart : Fraunhofer Verlag, 2013. 150 S.
  ISBN 978-3-8396-0646-9
  
  Abstract: In der heutigen Zeit nimmt die Flut an Informationen exponentiell zu. In dieser »Informationsexplosion« entsteht täglich eine unüberschaubare Menge an neuen Informationen im Web: Beispielsweise 430 deutschsprachige Artikel bei Wikipedia, 2,4 Mio. Tweets bei Twitter und 12,2 Mio. Kommentare bei Facebook. Während in Deutschland vor einigen Jahren noch Google als nahezu einzige Suchmaschine beim Zugriff auf Informationen im Web genutzt wurde, nehmen heute die u.a. in Social Media veröffentlichten Meinungen und damit die Vorauswahl sowie Bewertung von Informationen einzelner Experten und Meinungsführer an Bedeutung zu. Aber wie können themenspezifische Informationen nun effizient für konkrete Fragestellungen identifiziert und bedarfsgerecht aufbereitet und visualisiert werden? Diese Studie gibt einen Überblick über semantische Standards und Formate, die Prozesse der semantischen Suche, Methoden und Techniken semantischer Suchsysteme, Komponenten zur Entwicklung semantischer Suchmaschinen sowie den Aufbau bestehender Anwendungen. Die Studie erläutert den prinzipiellen Aufbau semantischer Suchsysteme und stellt Methoden der semantischen Suche vor. Zudem werden Softwarewerkzeuge vorgestellt, mithilfe derer einzelne Funktionalitäten von semantischen Suchmaschinen realisiert werden können. Abschließend erfolgt die Betrachtung bestehender semantischer Suchmaschinen zur Veranschaulichung der Unterschiede der Systeme im Aufbau sowie in der Funktionalität.
  
  Inhalt: Vgl.: https://shop.iao.fraunhofer.de/publikationen/semantische-suchsysteme-fr-das-internet.html.
  
  Themenfeld: Suchmaschinen ; Semantisches Umfeld in Indexierung u. Retrieval
  
  RSWK: Suchmaschine / Semantic Web / Information Retrieval ; Suchmaschine / Information Retrieval / Ranking / Datenstruktur / Kontextbezogenes System
  BK: 54.72 Künstliche Intelligenz ; 54.32 Rechnerkommunikation ; 06.74 Informationssysteme
  DDC: 025.0425 / DDC22ger ; 006.332 / DDC22ger
  RVK: AN 93100 ; AN 95000 ; ST 205 ; ST 302
  
• 2
  Croft, W.B. ; Metzler, D. ; Strohman, T.: Search engines : information retrieval in practice.
  Boston : Addison-Wesley, 2010. xxv, 524 S.
  ISBN 978-0-13-607224-9
  
  Abstract: For introductory information retrieval courses at the undergraduate and graduate level in computer science, information science and computer engineering departments. Written by a leader in the field of information retrieval, Search Engines: Information Retrieval in Practice, is designed to give undergraduate students the understanding and tools they need to evaluate, compare and modify search engines. Coverage of the underlying IR and mathematical models reinforce key concepts. The book's numerous programming exercises make extensive use of Galago, a Java-based open source search engine. SUPPLEMENTS / Extensive lecture slides (in PDF and PPT format) / Solutions to selected end of chapter problems (Instructors only) / Test collections for exercises / Galago search engine
  
  Themenfeld: Suchmaschinen
  Objekt: Galago
  
  LCSH: Search engines / Programming ; Information retrieval ; Information Storage and Retrieval ; Knowledge Bases
  RSWK: Suchmaschine / Information Retrieval
  BK: 54.64 / Datenbanken ; 54.75 / Sprachverarbeitung ; 06.74 / Informationssysteme
  DDC: 025.04 ; 005.75/8
  GHBS: TWX (FH K)
  LCC: TK 5105.884 .C765 2010
  RVK: ST 205 ; ST 270
  
• 3
  Baofu, P.: ¬The future of information architecture : conceiving a better way to understand taxonomy, network, and intelligence.
  Oxford : Chandos, 2008. XX, 283 S.
  ISBN 978-1-84334-471-1
  
  Abstract: The Future of Information Architecture examines issues surrounding why information is processed, stored and applied in the way that it has, since time immemorial. Contrary to the conventional wisdom held by many scholars in human history, the recurrent debate on the explanation of the most basic categories of information (eg space, time causation, quality, quantity) has been misconstrued, to the effect that there exists some deeper categories and principles behind these categories of information - with enormous implications for our understanding of reality in general. To understand this, the book is organised in to four main parts: Part I begins with the vital question concerning the role of information within the context of the larger theoretical debate in the literature. Part II provides a critical examination of the nature of data taxonomy from the main perspectives of culture, society, nature and the mind. Part III constructively invesitgates the world of information network from the main perspectives of culture, society, nature and the mind. Part IV proposes six main theses in the authors synthetic theory of information architecture, namely, (a) the first thesis on the simpleness-complicatedness principle, (b) the second thesis on the exactness-vagueness principle (c) the third thesis on the slowness-quickness principle (d) the fourth thesis on the order-chaos principle, (e) the fifth thesis on the symmetry-asymmetry principle, and (f) the sixth thesis on the post-human stage.
  
  Themenfeld: Wissensrepräsentation ; Semantisches Umfeld in Indexierung u. Retrieval
  
  LCSH: Information resources ; Information organization ; Information storage and retrieval systems ; Classification
  RSWK: Suchmaschine / Information Retrieval
  BK: 06.74 (Informationssysteme)
  DDC: 025
  GHBS: BBV (FH K)
  LCC: Z666.5
  
• 4
  Berry, M.W. ; Browne, M.: Understanding search engines : mathematical modeling and text retrieval.2nd ed.
  Philadelphia, PA : SIAM, 2005. XVII, 117 S.
  ISBN 0-89871-581-4
  (Software, environments, tools; 17)
  
  Abstract: The second edition of Understanding Search Engines: Mathematical Modeling and Text Retrieval follows the basic premise of the first edition by discussing many of the key design issues for building search engines and emphasizing the important role that applied mathematics can play in improving information retrieval. The authors discuss important data structures, algorithms, and software as well as user-centered issues such as interfaces, manual indexing, and document preparation. Significant changes bring the text up to date on current information retrieval methods: for example the addition of a new chapter on link-structure algorithms used in search engines such as Google. The chapter on user interface has been rewritten to specifically focus on search engine usability. In addition the authors have added new recommendations for further reading and expanded the bibliography, and have updated and streamlined the index to make it more reader friendly.
  
  Inhalt: Inhalt: Introduction Document File Preparation - Manual Indexing - Information Extraction - Vector Space Modeling - Matrix Decompositions - Query Representations - Ranking and Relevance Feedback - Searching by Link Structure - User Interface - Book Format Document File Preparation Document Purification and Analysis - Text Formatting - Validation - Manual Indexing - Automatic Indexing - Item Normalization - Inverted File Structures - Document File - Dictionary List - Inversion List - Other File Structures Vector Space Models Construction - Term-by-Document Matrices - Simple Query Matching - Design Issues - Term Weighting - Sparse Matrix Storage - Low-Rank Approximations Matrix Decompositions QR Factorization - Singular Value Decomposition - Low-Rank Approximations - Query Matching - Software - Semidiscrete Decomposition - Updating Techniques Query Management Query Binding - Types of Queries - Boolean Queries - Natural Language Queries - Thesaurus Queries - Fuzzy Queries - Term Searches - Probabilistic Queries Ranking and Relevance Feedback Performance Evaluation - Precision - Recall - Average Precision - Genetic Algorithms - Relevance Feedback Searching by Link Structure HITS Method - HITS Implementation - HITS Summary - PageRank Method - PageRank Adjustments - PageRank Implementation - PageRank Summary User Interface Considerations General Guidelines - Search Engine Interfaces - Form Fill-in - Display Considerations - Progress Indication - No Penalties for Error - Results - Test and Retest - Final Considerations Further Reading
  
  Themenfeld: Suchmaschinen ; Retrievalalgorithmen
  Objekt: HITS-Algorithmus ; PageRank
  
  LCSH: Web search engines ; Vector spaces ; Text processing (Computer science)
  RSWK: Suchmaschine / Information Retrieval ; Suchmaschine / Information Retrieval / Mathematisches Modell (HEBIS)
  BK: 06.44 / IuD-Einrichtungen ; 06.74 / Informationssysteme ; 31.80 / Angewandte Mathematik
  DDC: 025.04
  LCC: TK5105.884.B47 2005
  
• 5
  Berry, M.W. ; Browne, M.: Understanding search engines : mathematical modeling and text retrieval.
  Philadelphia, PA : SIAM, 1999. XIII, 116 S.
  ISBN 0-89871-437-0
  (Software, environments, tools; 8)
  
  Abstract: This book discusses many of the key design issues for building search engines and emphazises the important role that applied mathematics can play in improving information retrieval. The authors discuss not only important data structures, algorithms, and software but also user-centered issues such as interfaces, manual indexing, and document preparation. They also present some of the current problems in information retrieval that many not be familiar to applied mathematicians and computer scientists and some of the driving computational methods (SVD, SDD) for automated conceptual indexing
  
  Themenfeld: Suchmaschinen ; Retrievalalgorithmen
  
  LCSH: Web search engines ; Vector spaces ; Text processing (Computer science)
  RSWK: Suchmaschine / Information Retrieval ; World Wide Web / Suchmaschine / Mathematisches Modell (BVB) ; Suchmaschine / Information Retrieval / Mathematisches Modell (HEBIS)
  BK: 06.74 / Informationssysteme
  DDC: 025.04
  LCC: TK5105.884.B47 1999
  RVK: ST 230 [Informatik # Monographien # Software und -entwicklung # Software allgemein, (Einführung, Lehrbücher, Methoden der Programmierung) Software engineering, Programmentwicklungssysteme, Softwarewerkzeuge]