Search (2695 results, page 135 of 135)

  • × year_i:[2010 TO 2020}
  1. Karlova-Bourbonus, N.: Automatic detection of contradictions in texts (2018) 0.00
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  2. Schillinger, T.; Winterschladen, S.: Was die Welt zusammenhält : Sieben Menschen schützen das Internet (2010) 0.00
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  3. Hildebrandt, J.; Beuth, P.: Macht Wikipedia schlau oder dumm? : die FR gibt Orientierungshilfen in der grenzenlosen Fundgrube (2010) 0.00
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  4. Sandner, M.: Neues aus der Kommission für Sacherschließung (2010) 0.00
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  5. Hubrich, J.: Concepts in Context - Cologne Conference on Interoperability and Semantics in Knowledge Organization : Internationale Fachtagung und Abschlussworkshop des DFGProjekts CrissCross in Köln (2010) 0.00
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  6. Stöcklin, N.: Wikipedia clever nutzen : in Schule und Beruf (2010) 0.00
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  7. Herwig, O.: ¬Die Arche mit dem Leck : Ein Abgesang auf die Institution Bibliothek (2011) 0.00
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  8. Haubner, S.: Was uns Google vorenthält : Alternativen zum Marktführer gibt es beim Suchen im Internet kaum - Wir erklären, wie der Suchmaschinen-Gigant "Google" funktioniert. (2012) 0.00
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  9. Berg, L.; Metzner, J.; Thrun, S.: Studieren im Netz - Das Ende der Uni? : Kostenloser Online-Unterricht (2012) 0.00
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  10. Next generation search engines : advanced models for information retrieval (2012) 0.00
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    Content
    Vert, S.: Extensions of Web browsers useful to knowledge workers. Chen, L.-C.: Next generation search engine for the result clustering technology. Biskri, I., L. Rompré: Using association rules for query reformulation. Habernal, I., M. Konopík u. O. Rohlík: Question answering. Grau, B.: Finding answers to questions, in text collections or Web, in open domain or specialty domains. Berri, J., R. Benlamri: Context-aware mobile search engine. Bouidghaghen, O., L. Tamine: Spatio-temporal based personalization for mobile search. Chaudiron, S., M. Ihadjadene: Studying Web search engines from a user perspective: key concepts and main approaches. Karaman, F.: Artificial intelligence enabled search engines (AIESE) and the implications. Lewandowski, D.: A framework for evaluating the retrieval effectiveness of search engines.
  11. Rest, J.: ¬Die Neuvermessung der Welt : Google maps (2012) 0.00
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  12. Categories, contexts and relations in knowledge organization : Proceedings of the Twelfth International ISKO Conference 6-9 August 2012, Mysore, India (2012) 0.00
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    Content
    CATEGORIES IN KNOWLEDGE ORGANIZATION L. Hajibayova and E. K. Jacob. A Theoretical Framework for Operationalizing Basic Level Categories in Knowledge Organization Research - A. Y. Asundi. Epistemological Basis of some Common Categories - A Study of Space and Time As Common Concepts - A. Y. Asundi. Domain Specific Categories and Relations and their Potential Applications: A Case Study of Two Arrays of Agriculture Schedule of Colon Classification RELATIONSHIPS IN KNOWLEDGE ORGANIZATION K. S. Raghavan and A. Neelameghan. Indic Cultures and Concepts: Implications for Knowledge Organization - Eduardo Ismael Murguia and Rodrigo de Sales. CNPq.s Knowledge Area Table as a Knowledge and Power Apparatus - Maja Zumer, Marcia Lei Zeng and Joan S. Mitchell. FRBRizing KOS Relationships: Applying the FRBR Model to Versions of the DDC - D. Grant Campbell. Farradane.s Relational Indexing and its Relationship to Hyperlinking in Alzheimer.s Information - Elizabeth Milonas. Classifying Web Term Relationships: An Examination of the Search Result Pages of Two Major Search Engines - Rosa San Sengundo and Daniel Martinez Avila. New Conceptual Structures for the Digital Environment: From KOS to the Semantic Interconnection - A. Neelameghan and K.S. Raghavan. Concept of .Time., Semantic Relationships and Cultural Frames
  13. Chu, H.: Information representation and retrieval in the digital age (2010) 0.00
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    Footnote
    Weitere Rez. in: Rez. in: nfd 55(2004) H.4, S.252 (D. Lewandowski):"Die Zahl der Bücher zum Thema Information Retrieval ist nicht gering, auch in deutscher Sprache liegen einige Titel vor. Trotzdem soll ein neues (englischsprachiges) Buch zu diesem Thema hier besprochen werden. Dieses zeichnet sich durch eine Kürze (nur etwa 230 Seiten Text) und seine gute Verständlichkeit aus und richtet sich damit bevorzugt an Studenten in den ersten Semestern. Heting Chu unterrichtet seit 1994 an Palmer School of Library and Information Science der Long Island University New York. Dass die Autorin viel Erfahrung in der Vermittlung des Stoffs in ihren Information-Retrieval-Veranstaltungen sammeln konnte, merkt man dem Buch deutlich an. Es ist einer klaren und verständlichen Sprache geschrieben und führt in die Grundlagen der Wissensrepräsentation und des Information Retrieval ein. Das Lehrbuch behandelt diese Themen als Gesamtkomplex und geht damit über den Themenbereich ähnlicher Bücher hinaus, die sich in der Regel auf das Retrieval beschränken. Das Buch ist in zwölf Kapitel gegliedert, wobei das erste Kapitel eine Übersicht über die zu behandelnden Themen gibt und den Leser auf einfache Weise in die Grundbegriffe und die Geschichte des IRR einführt. Neben einer kurzen chronologischen Darstellung der Entwicklung der IRR-Systeme werden auch vier Pioniere des Gebiets gewürdigt: Mortimer Taube, Hans Peter Luhn, Calvin N. Mooers und Gerard Salton. Dies verleiht dem von Studenten doch manchmal als trocken empfundenen Stoff eine menschliche Dimension. Das zweite und dritte Kapitel widmen sich der Wissensrepräsentation, wobei zuerst die grundlegenden Ansätze wie Indexierung, Klassifikation und Abstracting besprochen werden. Darauf folgt die Behandlung von Wissensrepräsentation mittels Metadaten, wobei v.a. neuere Ansätze wie Dublin Core und RDF behandelt werden. Weitere Unterkapitel widmen sich der Repräsentation von Volltexten und von Multimedia-Informationen. Die Stellung der Sprache im IRR wird in einem eigenen Kapitel behandelt. Dabei werden in knapper Form verschiedene Formen des kontrollierten Vokabulars und die wesentlichen Unterscheidungsmerkmale zur natürlichen Sprache erläutert. Die Eignung der beiden Repräsentationsmöglichkeiten für unterschiedliche IRR-Zwecke wird unter verschiedenen Aspekten diskutiert.
  14. Nübel, R.: ¬Der Spatz als Lernhilfe (2011) 0.00
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  15. Berg, L.: Pablo will es wissen : Lernen mit Salman Khan (2012) 0.00
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