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  1. Gödert, W.; Lepsky, K.: Informationelle Kompetenz : ein humanistischer Entwurf (2019) 0.45
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    Footnote
    Rez. in: Philosophisch-ethische Rezensionen vom 09.11.2019 (Jürgen Czogalla), Unter: https://philosophisch-ethische-rezensionen.de/rezension/Goedert1.html. In: B.I.T. online 23(2020) H.3, S.345-347 (W. Sühl-Strohmenger) [Unter: https%3A%2F%2Fwww.b-i-t-online.de%2Fheft%2F2020-03-rezensionen.pdf&usg=AOvVaw0iY3f_zNcvEjeZ6inHVnOK]. In: Open Password Nr. 805 vom 14.08.2020 (H.-C. Hobohm) [Unter: https://www.password-online.de/?mailpoet_router&endpoint=view_in_browser&action=view&data=WzE0MywiOGI3NjZkZmNkZjQ1IiwwLDAsMTMxLDFd].
    Theme
    Information
  2. Mayr, P.: Information Retrieval-Mehrwertdienste für Digitale Bibliotheken: : Crosskonkordanzen und Bradfordizing (2010) 0.07
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    Abstract
    In dieser Arbeit werden zwei Mehrwertdienste für Suchsysteme vorgestellt, die typische Probleme bei der Recherche nach wissenschaftlicher Literatur behandeln können. Die beiden Mehrwertdienste semantische Heterogenitätsbehandlung am Beispiel Crosskonkordanzen und Re-Ranking auf Basis von Bradfordizing, die in unterschiedlichen Phasen der Suche zum Einsatz kommen, werden in diesem Buch ausführlich beschrieben und evaluiert. Für die Tests wurden Fragestellungen und Daten aus zwei Evaluationsprojekten (CLEF und KoMoHe) verwendet. Die intellektuell bewerteten Dokumente stammen aus insgesamt sieben Fachdatenbanken der Fächer Sozialwissenschaften, Politikwissenschaft, Wirtschaftswissenschaften, Psychologie und Medizin. Die Ergebnisse dieser Arbeit sind in das GESIS-Projekt IRM eingeflossen.
    RSWK
    Dokumentationssprache / Heterogenität / Information Retrieval / Ranking / Evaluation
    Subject
    Dokumentationssprache / Heterogenität / Information Retrieval / Ranking / Evaluation
  3. Interactive information seeking, behaviour and retrieval (2011) 0.06
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    Abstract
    Information retrieval (IR) is a complex human activity supported by sophisticated systems. Information science has contributed much to the design and evaluation of previous generations of IR system development and to our general understanding of how such systems should be designed and yet, due to the increasing success and diversity of IR systems, many recent textbooks concentrate on IR systems themselves and ignore the human side of searching for information. This book is the first text to provide an information science perspective on IR. Unique in its scope, the book covers the whole spectrum of information retrieval, including: history and background information; behaviour and seeking task-based information; searching and retrieval approaches to investigating information; interaction and behaviour information; representation access models; evaluation interfaces for IR; interactive techniques; web retrieval, ranking and personalization; and, recommendation, collaboration and social search multimedia: interfaces and access. A key text for senior undergraduates and masters' level students of all information and library studies courses, this book is also useful for practising LIS professionals who need to better appreciate how IR systems are designed, implemented and evaluated.
    Content
    Enthält die Beiträge: Interactive information retrieval: history and background / Colleen Cool and Nicholas J. Belkin - Information behavior and seeking / Peiling Wang - Task-based information searching and retrieval / Elaine G. Toms - Approaches to investigating information interaction and behaviour / Raya Fidel - Information representation / Mark D. Smucker - Access models / Edie Rasmussen - Evaluation / Kalervo Järvelin - Interfaces for information retrieval / Max Wilson - Interactive techniques / Ryen W. White - Web retrieval, ranking and personalization / Jaime Teevan and Susan Dumais - Recommendation, collaboration and social search / David M. Nichols and Michael B. Twidale - Multimedia: behaviour, interfaces and interaction / Haiming Liu, Suzanne Little and Stefan Rüger - Multimedia: information representation and access / Suzanne Little, Evan Brown and Stefan Rüger
    LCSH
    Information retrieval
    RSWK
    Information Retrieval / Informationsverhalten / Online-Recherche / Information-Retrieval-System / Aufsatzsammlung
    Subject
    Information Retrieval / Informationsverhalten / Online-Recherche / Information-Retrieval-System / Aufsatzsammlung
    Information retrieval
  4. Gossen, T.: Search engines for children : search user interfaces and information-seeking behaviour (2016) 0.06
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    Abstract
    The doctoral thesis of Tatiana Gossen formulates criteria and guidelines on how to design the user interfaces of search engines for children. In her work, the author identifies the conceptual challenges based on own and previous user studies and addresses the changing characteristics of the users by providing a means of adaptation. Additionally, a novel type of search result visualisation for children with cartoon style characters is developed taking children's preference for visual information into account.
    Content
    Inhalt: Acknowledgments; Abstract; Zusammenfassung; Contents; List of Figures; List of Tables; List of Acronyms; Chapter 1 Introduction ; 1.1 Research Questions; 1.2 Thesis Outline; Part I Fundamentals ; Chapter 2 Information Retrieval for Young Users ; 2.1 Basics of Information Retrieval; 2.1.1 Architecture of an IR System; 2.1.2 Relevance Ranking; 2.1.3 Search User Interfaces; 2.1.4 Targeted Search Engines; 2.2 Aspects of Child Development Relevant for Information Retrieval Tasks; 2.2.1 Human Cognitive Development; 2.2.2 Information Processing Theory; 2.2.3 Psychosocial Development 2.3 User Studies and Evaluation2.3.1 Methods in User Studies; 2.3.2 Types of Evaluation; 2.3.3 Evaluation with Children; 2.4 Discussion; Chapter 3 State of the Art ; 3.1 Children's Information-Seeking Behaviour; 3.1.1 Querying Behaviour; 3.1.2 Search Strategy; 3.1.3 Navigation Style; 3.1.4 User Interface; 3.1.5 Relevance Judgement; 3.2 Existing Algorithms and User Interface Concepts for Children; 3.2.1 Query; 3.2.2 Content; 3.2.3 Ranking; 3.2.4 Search Result Visualisation; 3.3 Existing Information Retrieval Systems for Children; 3.3.1 Digital Book Libraries; 3.3.2 Web Search Engines 3.4 Summary and DiscussionPart II Studying Open Issues ; Chapter 4 Usability of Existing Search Engines for Young Users ; 4.1 Assessment Criteria; 4.1.1 Criteria for Matching the Motor Skills; 4.1.2 Criteria for Matching the Cognitive Skills; 4.2 Results; 4.2.1 Conformance with Motor Skills; 4.2.2 Conformance with the Cognitive Skills; 4.2.3 Presentation of Search Results; 4.2.4 Browsing versus Searching; 4.2.5 Navigational Style; 4.3 Summary and Discussion; Chapter 5 Large-scale Analysis of Children's Queries and Search Interactions; 5.1 Dataset; 5.2 Results; 5.3 Summary and Discussion Chapter 6 Differences in Usability and Perception of Targeted Web Search Engines between Children and Adults 6.1 Related Work; 6.2 User Study; 6.3 Study Results; 6.4 Summary and Discussion; Part III Tackling the Challenges ; Chapter 7 Search User Interface Design for Children ; 7.1 Conceptual Challenges and Possible Solutions; 7.2 Knowledge Journey Design; 7.3 Evaluation; 7.3.1 Study Design; 7.3.2 Study Results; 7.4 Voice-Controlled Search: Initial Study; 7.4.1 User Study; 7.5 Summary and Discussion; Chapter 8 Addressing User Diversity ; 8.1 Evolving Search User Interface 8.1.1 Mapping Function8.1.2 Evolving Skills; 8.1.3 Detection of User Abilities; 8.1.4 Design Concepts; 8.2 Adaptation of a Search User Interface towards User Needs; 8.2.1 Design & Implementation; 8.2.2 Search Input; 8.2.3 Result Output; 8.2.4 General Properties; 8.2.5 Configuration and Further Details; 8.3 Evaluation; 8.3.1 Study Design; 8.3.2 Study Results; 8.3.3 Preferred UI Settings; 8.3.4 User satisfaction; 8.4 Knowledge Journey Exhibit; 8.4.1 Hardware; 8.4.2 Frontend; 8.4.3 Backend; 8.5 Summary and Discussion; Chapter 9 Supporting Visual Searchers in Processing Search Results 9.1 Related Work
    Date
    1. 2.2016 18:25:22
    LCSH
    Information storage and retrieval
    Subject
    Information storage and retrieval
  5. Lalmas, M.: XML retrieval (2009) 0.06
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    Abstract
    Documents usually have a content and a structure. The content refers to the text of the document, whereas the structure refers to how a document is logically organized. An increasingly common way to encode the structure is through the use of a mark-up language. Nowadays, the most widely used mark-up language for representing structure is the eXtensible Mark-up Language (XML). XML can be used to provide a focused access to documents, i.e. returning XML elements, such as sections and paragraphs, instead of whole documents in response to a query. Such focused strategies are of particular benefit for information repositories containing long documents, or documents covering a wide variety of topics, where users are directed to the most relevant content within a document. The increased adoption of XML to represent a document structure requires the development of tools to effectively access documents marked-up in XML. This book provides a detailed description of query languages, indexing strategies, ranking algorithms, presentation scenarios developed to access XML documents. Major advances in XML retrieval were seen from 2002 as a result of INEX, the Initiative for Evaluation of XML Retrieval. INEX, also described in this book, provided test sets for evaluating XML retrieval effectiveness. Many of the developments and results described in this book were investigated within INEX.
    Content
    Table of Contents: Introduction / Basic XML Concepts / Historical Perspectives / Query Languages / Indexing Strategies / Ranking Strategies / Presentation Strategies / Evaluating XML Retrieval Effectiveness / Conclusions
    LCSH
    Information retrieval
    Series
    Synthesis lectures on information concepts, retrieval & services; 7
    Subject
    Information retrieval
  6. SIGIR'04 : Proceedings of the 27th Annual International ACM-SIGIR Conference an Research and Development in Information Retrieval (2004) 0.05
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    Content
    Enthält u.a. die Beiträge: Liu, S., F. Liu u. C. Yu u.a.: An effective approach to document retrieval via utilizing WordNet and recognizing phrases; Lau, R.Y.K., P.D. Bruza u. D. Song: Belief revision for adaptive information retrieval; Kokiopoulou, E., Y. Saad: Polynomial filtering in Latent semantic indexing for information retrieval; He, X., D. Cai u. H. Liu u.a.: Locality preserving indexing for document representation; Tang, C., S. Dwarkadas u. Z. Xu u.a.: On scaling Latent semantic indexing for large peer-to peer systems; Yu, W., Y. Gong: Document clustering by concept factorization; Kazai, G., M. Lalmas: The overlap problem in content-oriented XML retrieval evaluation; Kamps, J., M. de Rijke u. B. Sigurbjörnsson: Length normalization in XML retrieval; Liu, A., Q. Zou u. W.W. Chu: Configurable indexing and ranking for XML information retrieval; Zhang, L., Y. Pan u. T. Zhang: Focused named entity recognition using machine learning; Xu, J., R. Weischedel u. A. Licuanan: Evaluation of an extraction-based approach to answering definitional questions; Chieu, H.L., Y.K. Lee: Query based event extraction along a timeline; Yu, K., V. Tresp u. S. Yu: A nonparametric hierarchical Bayesian framework for information filtering; Liu, X., W.B. Croft: Cluster-based retrieval using language models; Silvestri, F., A. Orlando u. R. Perego: Assigning identifters to documents to enhance the clustering property of fulltext indexes; Amitay, E., D. Carmel u. R. Lempel u.a.: Scaling IR-system evaluation using Term Relevance Sets; Buckley, C., E.M. Voorhees: Retrieval evaluation with incomplete information; Cheng, P.J., J.W. Teng u. R.C. Chen u.a.: Translating unknown queries with Web corpora for cross-language information languages; Fan, J., Y. Gao u. H. Luo u.a.: Automatic image automation by using concept-sensitive salient objects for image content representation; Amitay, E., N. Har'El u. R. Sivian u.a.: Web-a-Where: geotagging web content; Shen, D., Z. Chen u. Q. Yang u.a.: Web page classification through summarization; McLaughlin, M.R., J.L. Herlocker: A collaborative filtering algorithm and evaluation metric that accurately model the user experience; Fan, W., M. Luo u. L. Wang u.a.: Tuning before feedback: combining ranking discovery and blind feedback for robust retrieval.
  7. Chowdhury, G.G.: Introduction to modern information retrieval (1999) 0.05
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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.
  8. Readings in information retrieval (1997) 0.05
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    Content
    JOYCE, T. u. R.M. NEEDHAM: The thesaurus approach to information retrieval; LUHN, H.P.: The automatic derivation of information retrieval encodements from machine-readable texts; DOYLE, L.B.: Indexing and abstracting by association. Part 1; MARON, M.E. u. J.L. KUHNS: On relevance, probabilistic indexing and information retrieval; CLEVERDON, C.W.: The Cranfield test on index language devices; SALTON, G. u. M.E. LESK: Computer evaluation of indexing and text processing; HUTCHINS, W.J.: The concept of 'aboutness' in subject indexing; CLEVERDON, C.W. u. J. MILLS: The testing of index language devices; FOSKETT, D.J.: Thesaurus; DANIELS, P.J. u.a.: Using problem structures for driving human-computer dialogues; SARACEVIC, T.: Relevance: a review of and a framwork for thinking on the notion in information science; SARACEVIC, T. u.a. A study of information seeking and retrieving: I. Background and methodology; COOPER, W.S.: On selecting a measure of retrieval effectiveness, revisited; TAGEU-SUTCLIFFE, J.: The pragmatics of information retrieval experimentation, revisited; KEEN, E.M.: Presenting results of experimental retrieval comparisons; LANCASTER, F.W.: MEDLARS: report on the evaluation of its operating efficiency; HARMAN, D.K.: The TREC conferences; COOPER, W.S.: Getting beyond Boole; RIJSBERGEN, C.J. van: A non-classical logic for information retrieval; SALTON, G. u.a.: A vector space model for automatic indexing; ROBERTSON, S.E.: The probability ranking principle in IR; TURTLE, H. u. W.B. CROFT: Inference networks for document retrieval; BELKIN, N.J. u.a.: Ask for information retrieval: Part 1. Background and theory; PORTER, M.F.: Am algortihm for suffix stripping; SALTON, G. u. C. BUCKLEY: Term-weighting approaches in automatic text retrieval; SPRACK JONES, K.: Search term relevance weighting given little relevance information; CROFT, W.B. u. D.J. HARPER: Using probabilistic models of document retrieval without relevance information; ROBERTSON, S.E. u. S. WALKER: Some simple effective approximations to the 2-poisson model for probabilistic weighted retrieval; SALTON, G. u. C. BUCKLEY: Improving retrieval performance by relevance feedback; GRIFFITHS, A. u.a.: Using interdocument similarity information in document retrieval systems; SALTON, G. u. M.J. McGILL: The SMART and SIRE experimental retrieval systems; FOX, E.A. u. R.K. FRANCE: Architecture of an expert system for composite analysis, representation, and retrieval; HARMAN, D.: User-friendly systems instead of user-friendly front ends; WALKER, S.: The Okapi online catalogue research projects; CALLAN, J. u.a.: TREC and TIPSTER experiments with INQUERY; McCUNE, B. u.a.: RUBRIC: a system for rule-based information retrieval; TENOPIR, C. u. P. CAHN: TARGET and FREESTYLE: DIALOG and Mead join the relevance ranks; AGOSTI, M. u.a.: A hypertext environment for interacting with large databases; HULL, D.A. u. G. GREFENSTETTE: Querying across languages: a dictionary-based approach to multilingual information retrieval; SALTON, G. u.a.: Automatic analysis, theme generation, and summarization of machine-readable texts; SPARCK JONES, K. u.a.: Experiments in spoken document retrieval; ZHANG, H.J. u.a.: Video parsing, retrieval and browsing: an integrated and cantent-based solution; BIEBRICHER, N. u.a.: The automatic indexing system AIR/PHYS: from research to application; STRZALKOWSKI, T.: Robust text processing in automated information retrieval; HAYES, P.J. u.a.: A news story categorization system; RAU, L.F.: Conceptual information extraction and retrieval from natural language input; MARSH, E.: A production rule system for message summarisation; JOHNSON, F.C. u.a.: The application of linguistic processing to automatic abstract generation; SWANSON, D.R.: Historical note: information retrieval and the future of an illusion
  9. Borlund, P.: Evaluation of interactive information retrieval systems (2000) 0.05
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    LCSH
    Information storage and retrieval systems / Evaluation
    Interactive computer systems / Evaluation
    RSWK
    Information Retrieval / Datenbankverwaltung / Hochschulschrift (GBV)
    Information Retrieval / Dialogsystem (SWB)
    Information Retrieval / Dialogsystem / Leistungsbewertung (BVB)
    Subject
    Information Retrieval / Datenbankverwaltung / Hochschulschrift (GBV)
    Information Retrieval / Dialogsystem (SWB)
    Information Retrieval / Dialogsystem / Leistungsbewertung (BVB)
    Information storage and retrieval systems / Evaluation
    Interactive computer systems / Evaluation
  10. Berry, M.W.; Browne, M.: Understanding search engines : mathematical modeling and text retrieval (2005) 0.05
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    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.
    Content
    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
    RSWK
    Suchmaschine / Information Retrieval
    Suchmaschine / Information Retrieval / Mathematisches Modell (HEBIS)
    Subject
    Suchmaschine / Information Retrieval
    Suchmaschine / Information Retrieval / Mathematisches Modell (HEBIS)
  11. Lancaster, F.W.: Information retrieval systems : characteristics, testing and evaluation (1979) 0.04
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    Footnote
    1st ed.: 1968; 3rd ed. u.d.T.: Information retrieval today (gemeinsam mit A.J. Warner)
  12. Kolodner, J.: Case-based reasoning (1993) 0.04
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    Content
    Pt.1: Background: waht is CBR? Case studies of several case-based reasoners. Reasoning using cases. The cognitive model. Pt.2: The case library: representing and indexing cases. Indexing vocabulary. Methods for index selection. Pt.3: Retrieving cases from the case library. Organizational structures and retrieval algorithms. Matching and ranking cases. Indexing and retrieval. Pt.4: Using cases. Adaptation methods and strategies. Controlling adaptation. Using cases for interpretation and evaluation. Pt.5: Pulling it all together. Building a case-based reasoner. Conclusions, opportunities, challenges. Appendix: A case library of case-based reasoning systems
  13. Chu, H.: Information representation and retrieval in the digital age (2010) 0.04
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    Content
    Information representation and retrieval : an overview -- Information representation I : basic approaches -- Information representation II : related topics -- Language in information representation and retrieval -- Retrieval techniques and query representation -- Retrieval approaches -- Information retrieval models -- Information retrieval systems -- Retrieval of information unique in content or format -- The user dimension in information representation and retrieval -- Evaluation of information representation and retrieval -- Artificial intelligence in information representation and retrieval.
    Imprint
    Medford, NJ : Information Today
    LCSH
    Information organization
    Information retrieval
    Information storage and retrieval systems
    Subject
    Information organization
    Information retrieval
    Information storage and retrieval systems
  14. Nohr, H.: Grundlagen der automatischen Indexierung : ein Lehrbuch (2003) 0.04
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    Date
    22. 6.2009 12:46:51
    Footnote
    Rez. in: nfd 54(2003) H.5, S.314 (W. Ratzek): "Um entscheidungsrelevante Daten aus der ständig wachsenden Flut von mehr oder weniger relevanten Dokumenten zu extrahieren, müssen Unternehmen, öffentliche Verwaltung oder Einrichtungen der Fachinformation effektive und effiziente Filtersysteme entwickeln, einsetzen und pflegen. Das vorliegende Lehrbuch von Holger Nohr bietet erstmalig eine grundlegende Einführung in das Thema "automatische Indexierung". Denn: "Wie man Information sammelt, verwaltet und verwendet, wird darüber entscheiden, ob man zu den Gewinnern oder Verlierern gehört" (Bill Gates), heißt es einleitend. Im ersten Kapitel "Einleitung" stehen die Grundlagen im Mittelpunkt. Die Zusammenhänge zwischen Dokumenten-Management-Systeme, Information Retrieval und Indexierung für Planungs-, Entscheidungs- oder Innovationsprozesse, sowohl in Profit- als auch Non-Profit-Organisationen werden beschrieben. Am Ende des einleitenden Kapitels geht Nohr auf die Diskussion um die intellektuelle und automatische Indexierung ein und leitet damit über zum zweiten Kapitel "automatisches Indexieren. Hier geht der Autor überblickartig unter anderem ein auf - Probleme der automatischen Sprachverarbeitung und Indexierung - verschiedene Verfahren der automatischen Indexierung z.B. einfache Stichwortextraktion / Volltextinvertierung, - statistische Verfahren, Pattern-Matching-Verfahren. Die "Verfahren der automatischen Indexierung" behandelt Nohr dann vertiefend und mit vielen Beispielen versehen im umfangreichsten dritten Kapitel. Das vierte Kapitel "Keyphrase Extraction" nimmt eine Passpartout-Status ein: "Eine Zwischenstufe auf dem Weg von der automatischen Indexierung hin zur automatischen Generierung textueller Zusammenfassungen (Automatic Text Summarization) stellen Ansätze dar, die Schlüsselphrasen aus Dokumenten extrahieren (Keyphrase Extraction). Die Grenzen zwischen den automatischen Verfahren der Indexierung und denen des Text Summarization sind fließend." (S. 91). Am Beispiel NCR"s Extractor/Copernic Summarizer beschreibt Nohr die Funktionsweise.
    Im fünften Kapitel "Information Extraction" geht Nohr auf eine Problemstellung ein, die in der Fachwelt eine noch stärkere Betonung verdiente: "Die stetig ansteigende Zahl elektronischer Dokumente macht neben einer automatischen Erschließung auch eine automatische Gewinnung der relevanten Informationen aus diesen Dokumenten wünschenswert, um diese z.B. für weitere Bearbeitungen oder Auswertungen in betriebliche Informationssysteme übernehmen zu können." (S. 103) "Indexierung und Retrievalverfahren" als voneinander abhängige Verfahren werden im sechsten Kapitel behandelt. Hier stehen Relevance Ranking und Relevance Feedback sowie die Anwendung informationslinguistischer Verfahren in der Recherche im Mittelpunkt. Die "Evaluation automatischer Indexierung" setzt den thematischen Schlusspunkt. Hier geht es vor allem um die Oualität einer Indexierung, um gängige Retrievalmaße in Retrievaltest und deren Einssatz. Weiterhin ist hervorzuheben, dass jedes Kapitel durch die Vorgabe von Lernzielen eingeleitet wird und zu den jeweiligen Kapiteln (im hinteren Teil des Buches) einige Kontrollfragen gestellt werden. Die sehr zahlreichen Beispiele aus der Praxis, ein Abkürzungsverzeichnis und ein Sachregister erhöhen den Nutzwert des Buches. Die Lektüre förderte beim Rezensenten das Verständnis für die Zusammenhänge von BID-Handwerkzeug, Wirtschaftsinformatik (insbesondere Data Warehousing) und Künstlicher Intelligenz. Die "Grundlagen der automatischen Indexierung" sollte auch in den bibliothekarischen Studiengängen zur Pflichtlektüre gehören. Holger Nohrs Lehrbuch ist auch für den BID-Profi geeignet, um die mehr oder weniger fundierten Kenntnisse auf dem Gebiet "automatisches Indexieren" schnell, leicht verständlich und informativ aufzufrischen."
  15. Wolfram, D.: Applied informetrics for information retrieval research (2003) 0.04
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    Abstract
    The author demonstrates how informetric analysis of information retrieval system content and use provides valuable insights that have applications for the modelling, design, and evaluation of information retrieval systems.
  16. Scholarly metrics under the microscope : from citation analysis to academic auditing (2015) 0.04
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    Date
    22. 1.2017 17:12:50
    Imprint
    Medford, NJ : Information Today, Inc.
    LCSH
    Bibliographical citations / Evaluation
    Scholarly publishing / Evaluation
    Scholarly electronic publishing / Evaluation
    RSWK
    Scholarly electronic publishing -- Evaluation
    Subject
    Scholarly electronic publishing -- Evaluation
    Bibliographical citations / Evaluation
    Scholarly publishing / Evaluation
    Scholarly electronic publishing / Evaluation
  17. Ellis, D.: Progress and problems in information retrieval (1996) 0.03
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    Abstract
    An introduction to the principal generic approaches to information retrieval research with their associated concepts, models and systems, this text is designed to keep the information professional up to date with the major themes and developments that have preoccupied researchers in recent month in relation to textual and documentary retrieval systems.
    COMPASS
    Information retrieval
    Content
    First published 1991 as New horizons in information retrieval
    Date
    26. 7.2002 20:22:46
    Footnote
    Rez. in: Managing information 3(1996) no.10, S.49 (D. Bawden); Program 32(1998) no.2, S.190-192 (C. Revie)
    LCSH
    Information retrieval
    Subject
    Information retrieval
    Information retrieval
  18. Brenner, E.H.: Beyond Boolean : new approaches in information retrieval; the quest for intuitive online search systems past, present & future (1995) 0.03
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    Abstract
    The challenge of effectively bringing specific, relevant information from the global sea of data to our fingertips, has become an increasingly difficult one. Discusses how the online information industry, founded on Boolean search systems, may be evolving to take advantage of other methods, such as 'term weighting', 'relevance ranking' and 'query by example'
  19. Kowalski, G.: Information retrieval systems : theory and implemetation (1997) 0.03
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    Abstract
    Information retrieval systems: Theory and implementation provides a theoretical and practical explanation of the latest advancemenets in information retrieval and their application to existing systems. It takes a system approach, discussing als aspects of an Information Retrieval System. The importance of the Internet and its associated hypertext linked structure are put into perspective as a new type of information retrieval data structure
    Content
    (1) Introduction to information processing systems (2) Information retrieval system capabilities (3) Cataloging and indexing (4) Data structure (5) Automatic indexing (6) Document and term clustering (7) User search techniques (8) Information visualization (9) Text search algorithms (10) Information system evaluation
    Series
    The Kluwer international series on information retrieval
  20. Lavrenko, V.: ¬A generative theory of relevance (2009) 0.03
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    Abstract
    A modern information retrieval system must have the capability to find, organize and present very different manifestations of information - such as text, pictures, videos or database records - any of which may be of relevance to the user. However, the concept of relevance, while seemingly intuitive, is actually hard to define, and it's even harder to model in a formal way. Lavrenko does not attempt to bring forth a new definition of relevance, nor provide arguments as to why any particular definition might be theoretically superior or more complete. Instead, he takes a widely accepted, albeit somewhat conservative definition, makes several assumptions, and from them develops a new probabilistic model that explicitly captures that notion of relevance. With this book, he makes two major contributions to the field of information retrieval: first, a new way to look at topical relevance, complementing the two dominant models, i.e., the classical probabilistic model and the language modeling approach, and which explicitly combines documents, queries, and relevance in a single formalism; second, a new method for modeling exchangeable sequences of discrete random variables which does not make any structural assumptions about the data and which can also handle rare events. Thus his book is of major interest to researchers and graduate students in information retrieval who specialize in relevance modeling, ranking algorithms, and language modeling.
    RSWK
    Relevanz-Feedback / Information Retrieval
    Series
    The information retrieval series ; 26
    Subject
    Relevanz-Feedback / Information Retrieval

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