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  1. Frické, M.: Logic and the organization of information (2012) 0.00
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    Pages
    312 S
  2. O'Neil, C.: Angriff der Algorithmen : wie sie Wahlen manipulieren, Berufschancen zerstören und unsere Gesundheit gefährden (2017) 0.00
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    Pages
    336 S
  3. Tegmark, M.: Leben 3.0 : Mensch sein im Zeitalter Künstlicher Intelligenz (2017) 0.00
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    Pages
    528 S
  4. Nassehi, A.: Muster : Theorie der digitalen Gesellschaft (2019) 0.00
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    Pages
    352 S
  5. Chu, H.: Information representation and retrieval in the digital age (2010) 0.00
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    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.
    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.
    Pages
    XIV, 248 S
  6. Wright, A.: Cataloging the world : Paul Otlet and the birth of the information age (2014) 0.00
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    Pages
    360 S
  7. Floridi, L.: ¬The philosophy of information (2011) 0.00
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    Pages
    XVIII, 405 S
  8. Koch, C.: Consciousness : confessions of a romantic reductionist (2012) 0.00
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    Footnote
    Now it might seem that is a fairly well-defined scientific task: just figure out how the brain does it. In the end I think that is the right attitude to have. But our peculiar history makes it difficult to have exactly that attitude-to take consciousness as a biological phenomenon like digestion or photosynthesis, and figure out how exactly it works as a biological phenomenon. Two philosophical obstacles cast a shadow over the whole subject. The first is the tradition of God, the soul, and immortality. Consciousness is not a part of the ordinary biological world of digestion and photosynthesis: it is part of a spiritual world. It is sometimes thought to be a property of the soul and the soul is definitely not a part of the physical world. The other tradition, almost as misleading, is a certain conception of Science with a capital "S." Science is said to be "reductionist" and "materialist," and so construed there is no room for consciousness in Science. If it really exists, consciousness must really be something else. It must be reducible to something else, such as neuron firings, computer programs running in the brain, or dispositions to behavior. There are also a number of purely technical difficulties to neurobiological research. The brain is an extremely complicated mechanism with about a hundred billion neurons in ... (Rest nicht frei). " [https://www.nybooks.com/articles/2013/01/10/can-information-theory-explain-consciousness/].
    Pages
    xii, 181 S

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