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  1. Somers, J.: Torching the modern-day library of Alexandria : somewhere at Google there is a database containing 25 million books and nobody is allowed to read them. (2017) 0.00
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    Abstract
    You were going to get one-click access to the full text of nearly every book that's ever been published. Books still in print you'd have to pay for, but everything else-a collection slated to grow larger than the holdings at the Library of Congress, Harvard, the University of Michigan, at any of the great national libraries of Europe-would have been available for free at terminals that were going to be placed in every local library that wanted one. At the terminal you were going to be able to search tens of millions of books and read every page of any book you found. You'd be able to highlight passages and make annotations and share them; for the first time, you'd be able to pinpoint an idea somewhere inside the vastness of the printed record, and send somebody straight to it with a link. Books would become as instantly available, searchable, copy-pasteable-as alive in the digital world-as web pages. It was to be the realization of a long-held dream. "The universal library has been talked about for millennia," Richard Ovenden, the head of Oxford's Bodleian Libraries, has said. "It was possible to think in the Renaissance that you might be able to amass the whole of published knowledge in a single room or a single institution." In the spring of 2011, it seemed we'd amassed it in a terminal small enough to fit on a desk. "This is a watershed event and can serve as a catalyst for the reinvention of education, research, and intellectual life," one eager observer wrote at the time. On March 22 of that year, however, the legal agreement that would have unlocked a century's worth of books and peppered the country with access terminals to a universal library was rejected under Rule 23(e)(2) of the Federal Rules of Civil Procedure by the U.S. District Court for the Southern District of New York. When the library at Alexandria burned it was said to be an "international catastrophe." When the most significant humanities project of our time was dismantled in court, the scholars, archivists, and librarians who'd had a hand in its undoing breathed a sigh of relief, for they believed, at the time, that they had narrowly averted disaster.
  2. Jamali, H.R.; Shahbaztabar, P.: ¬The effects of internet filtering on users' information-seeking behaviour and emotions (2017) 0.00
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    Date
    20. 1.2015 18:30:22
  3. Griesbaum, J.; Mahrholz, N.; Kiedrowski, K. von Löwe; Rittberger, M.: Knowledge generation in online forums : a case study in the German educational domain (2015) 0.00
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    Date
    20. 1.2015 18:30:22
  4. Engels, T.C.E; Istenic Starcic, A.; Kulczycki, E.; Pölönen, J.; Sivertsen, G.: Are book publications disappearing from scholarly communication in the social sciences and humanities? (2018) 0.00
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    Date
    20. 1.2015 18:30:22
  5. Torres-Salinas, D.; Gorraiz, J.; Robinson-Garcia, N.: ¬The insoluble problems of books : what does Altmetric.com have to offer? (2018) 0.00
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    Date
    20. 1.2015 18:30:22
  6. Greiner-Petter, A.; Schubotz, M.; Cohl, H.S.; Gipp, B.: Semantic preserving bijective mappings for expressions involving special functions between computer algebra systems and document preparation systems (2019) 0.00
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    Date
    20. 1.2015 18:30:22
  7. Markoff, J.: Researchers announce advance in image-recognition software (2014) 0.00
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    Content
    In the longer term, the new research may lead to technology that helps the blind and robots navigate natural environments. But it also raises chilling possibilities for surveillance. During the past 15 years, video cameras have been placed in a vast number of public and private spaces. In the future, the software operating the cameras will not only be able to identify particular humans via facial recognition, experts say, but also identify certain types of behavior, perhaps even automatically alerting authorities. Two years ago Google researchers created image-recognition software and presented it with 10 million images taken from YouTube videos. Without human guidance, the program trained itself to recognize cats - a testament to the number of cat videos on YouTube. Current artificial intelligence programs in new cars already can identify pedestrians and bicyclists from cameras positioned atop the windshield and can stop the car automatically if the driver does not take action to avoid a collision. But "just single object recognition is not very beneficial," said Ali Farhadi, a computer scientist at the University of Washington who has published research on software that generates sentences from digital pictures. "We've focused on objects, and we've ignored verbs," he said, adding that these programs do not grasp what is going on in an image. Both the Google and Stanford groups tackled the problem by refining software programs known as neural networks, inspired by our understanding of how the brain works. Neural networks can "train" themselves to discover similarities and patterns in data, even when their human creators do not know the patterns exist.
  8. Thenmalar, S.; Geetha, T.V.: Enhanced ontology-based indexing and searching (2014) 0.00
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    Date
    20. 1.2015 18:30:22
  9. Shah, T.A.; Gul, S.; Gaur, R.C.: Authors self-citation behaviour in the field of Library and Information Science (2015) 0.00
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    Date
    20. 1.2015 18:30:22
  10. Gossen, T.: Search engines for children : search user interfaces and information-seeking behaviour (2016) 0.00
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    Date
    1. 2.2016 18:25:22
  11. Deventer, J.P. van; Kruger, C.J.; Johnson, R.D.: Delineating knowledge management through lexical analysis : a retrospective (2015) 0.00
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    Date
    20. 1.2015 18:30:22
  12. Kandel, E.R.: Reductionism in art and brain science : bridging the two cultures (2016) 0.00
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    Date
    14. 6.2019 12:22:37
  13. Metoyer, C.A.; Doyle, A.M.: Introduction to a speicial issue on "Indigenous Knowledge Organization" (2015) 0.00
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    Date
    26. 8.2015 19:22:31

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