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  • × subject_ss:"Information retrieval"
  1. Lalmas, M.: XML retrieval (2009) 0.08 
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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.
    LCSH
    XML (Document markup language)
    Subject
    XML (Document markup language)
  2. Croft, W.B.: Advances in information retrieval : Recent research from the Center for Intelligent Information Retrieval (2000) 0.01 
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    Content
    Enthält die Beiträge: CROFT, W.B.: Combining approaches to information retrieval; GREIFF, W.R.: The use of exploratory data analysis in information retrieval research; PONTE, J.M.: Language models for relevance feedback; PAPKA, R. u. J. ALLAN: Topic detection and tracking: event clustering as a basis for first story detection; CALLAN, J.: Distributed information retrieval; XU, J. u. W.B. CROFT: Topic-based language models for ditributed retrieval; LU, Z. u. K.S. McKINLEY: The effect of collection organization and query locality on information retrieval system performance; BALLESTEROS, L.A.: Cross-language retrieval via transitive translation; SANDERSON, M. u. D. LAWRIE: Building, testing, and applying concept hierarchies; RAVELA, S. u. C. LUO: Appearance-based global similarity retrieval of images
  3. Chu, H.: Information representation and retrieval in the digital age (2010) 0.00 
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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.
  4. Ellis, D.: Progress and problems in information retrieval (1996) 0.00 
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    Date
    26. 7.2002 20:22:46
  5. Lancaster, F.W.: Vocabulary control for information retrieval (1986) 0.00 
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    Date
    22. 4.2007 10:07:51
  6. Gödert, W.; Hubrich, J.; Nagelschmidt, M.: Semantic knowledge representation for information retrieval (2014) 0.00 
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    Date
    23. 7.2017 13:49:22
  7. Blair, D.C.: Language and representation in information retrieval (1991) 0.00 
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  8. Manning, C.D.; Raghavan, P.; Schütze, H.: Introduction to information retrieval (2008) 0.00 
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    Content
    Inhalt: Boolean retrieval - The term vocabulary & postings lists - Dictionaries and tolerant retrieval - Index construction - Index compression - Scoring, term weighting & the vector space model - Computing scores in a complete search system - Evaluation in information retrieval - Relevance feedback & query expansion - XML retrieval - Probabilistic information retrieval - Language models for information retrieval - Text classification & Naive Bayes - Vector space classification - Support vector machines & machine learning on documents - Flat clustering - Hierarchical clustering - Matrix decompositions & latent semantic indexing - Web search basics - Web crawling and indexes - Link analysis Vgl. die digitale Fassung unter: http://nlp.stanford.edu/IR-book/pdf/irbookprint.pdf.
  9. Knowledge organization and classification in international information retrieval (2004) 0.00 
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    Footnote
    Im dritten Kapitel, Linguistics, Terminology, and Natural Language Processing, werden Anwendungen der Sprachtechnologie auf die Informationsrecherche und -verteilung über Sprachgrenzen hinweg, die Auswirkungen unterschiedlicher Sprachvarianten auf lexikalische Wissensmuster sowie ein "gateway" für fachübergreifende Wissensbanken, das auf einem Vokabular von Allgemeinbegriffen aus neun verschiedenen MetadatenSchemata beruht, behandelt. Der letzte Abschnitt trägt den etwas rätselhaften Titel Knowledge in the World and the World of Knowledge und enthält so heterogene Beiträge wie den Entwurf eines axiomatischen Systems für die semantische Integration von Ontologien, einen Vergleich der einflussreichen Knowledge-Management-Ansätze von Nonaka & Takeuchi (Japan) und Davenport & Prusak (USA) sowie einen Vergleich der Repräsentation amerikanischer und internationaler agrarökonomischer Themen in LCC (Library of Congress Classification) und NAICS (North American Industrial Classification System). Die eingangs erwähnten Lobeshymnen sind meiner Meinung nach ein wenig übertrieben. Das Buch ist nicht mehr und nicht weniger als ein recht typischer Sammelband mit wissenschaftlichen Artikeln von unterschiedlicher Qualität. Einige davon sind in verständlicher Sprache verfasst (wie etwa der kurze Beitrag über allgemeine vs. spezifische Klassifikationssysteme von J.-E. Mai), andere sind für normale Bibliothekare bzw. Informationswissenschaftler praktisch unlesbar (wie jener über Ontologien von R. E. Kent, der mehr als nur oberflächliche Kenntnisse der formalen Logik voraussetzt). Einige Artikel fand ich recht interessant, andere eher etwas langatmig. Die meisten Beiträge werden vermutlich eher bei wissenschaftlichen Vertretern unserer Disziplin auf Interesse stossen als bei Praktikern. Dass das Buch überein brauchbares Register verfügt, sei positiv vermerkt, zumal derlei heute nicht mehrselbstverständlich ist. Zur Anschaffung empfehlen würde ich diesen Band nicht nur Bibliotheken mit Spezialisierung auf Bibliotheks- und Informationswissenschaft, sondern auch allen grossen wissenschaftlichen Bibliotheken."
  10. Chu, H.: Information representation and retrieval in the digital age (2010) 0.00 
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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.
    Footnote
    Rez. in: JASIST 56(2005) no.2, S.215-216 (A. Heath): "What is small, thoroughly organized, and easy to understand? Well, it's Heting Chu's latest book an information retrieval. A very welcome release, this small literary addition to the field (only 248 pages) contains a concise and weIl-organized discussion of every major topic in information retrieval. The often-complex field of information retrieval is presented from its origin in the early 1950s to the present day. The organization of this text is top-notch, thus making this an easy read for even the novice. Unlike other titles in this area, Chu's user-friendly style of writing is done an purpose to properly introduce newcomers to the field in a less intimidating way. As stated by the author in the Preface, the purpose of the book is to "present a systematic, thorough yet nontechnical view of the field by using plain language to explain complex subjects." Chu has definitely struck up the right combination of ingredients. In a field so broad and complex, a well-organized presentation of topics that don't trip an themselves is essential. The use of plain language where possible is also a good choice for this topic because it allows one to absorb topics that are, by nature, not as easy to grasp. For instance, Chapters 6 and 7, which cover retrieval approaches and techniques, an often painstaking topic for many students and teachers is deftly handled with the use of tables that can be used to compare and contrast the various models discussed. I particularly loved Chu's use of Koll's 2000 article from the Bulletin of the American Society for Information Science to explain subject searching at the beginning of Chapter 6, which discusses the differences between browsing and searching. The Koll article uses the task of finding a needle in a haystack as an analogy.
  11. Franke, F; Klein, A.; Schüller-Zwierlein, A.: Schlüsselkompetenzen : Literatur recherchieren in Bibliotheken und Internet (2010) 0.00 
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    Date
    29. 8.2011 12:21:48
  12. Stock, W.G.: Information Retrieval : Informationen suchen und finden (2007) 0.00 
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    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
  13. Anderson, J.D.; Perez-Carballo, J.: Information retrieval design : principles and options for information description, organization, display, and access in information retrieval databases, digital libraries, catalogs, and indexes (2005) 0.00 
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    Content
    Inhalt: Chapters 2 to 5: Scopes, Domains, and Display Media (pp. 47-102) Chapters 6 to 8: Documents, Analysis, and Indexing (pp. 103-176) Chapters 9 to 10: Exhaustivity and Specificity (pp. 177-196) Chapters 11 to 13: Displayed/Nondisplayed Indexes, Syntax, and Vocabulary Management (pp. 197-364) Chapters 14 to 16: Surrogation, Locators, and Surrogate Displays (pp. 365-390) Chapters 17 and 18: Arrangement and Size of Displayed Indexes (pp. 391-446) Chapters 19 to 21: Search Interface, Record Format, and Full-Text Display (pp. 447-536) Chapter 22: Implementation and Evaluation (pp. 537-541)

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  • m 13
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