Search (43 results, page 2 of 3)

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  • × theme_ss:"Information"
  1. Verdi, M.P.; Kulhavy, R.W.; Stock, W.A.; Rittscho, K.A.; Savenye, W.: Why maps improve memory for text : the influence of structural information on working-memory operations (1993) 0.01
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    Date
    22. 7.2000 19:18:18
  2. Fujiwara, Y.; Gotoda, H.: Representation model for relativity of concepts (1995) 0.01
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    Source
    International forum on information and documentation. 20(1995) no.1, S.22-30
  3. Allen, B.L.: Visualization and cognitve abilities (1998) 0.01
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    Date
    22. 9.1997 19:16:05
  4. Cole, C.: Activity of understanding a problem during interaction with an 'enabling' information retrieval system : modeling information flow (1999) 0.01
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    Date
    22. 5.1999 14:51:49
  5. Bruce, C.S.: ¬The relational approach : a new model for information literacy (1997) 0.01
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    Source
    New review of information and library research. 3(1997), S.1-22
  6. Essers, J.; Schreinemakers, J.: ¬The conceptions of knowledge and information in knowledge management (1996) 0.01
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    Source
    Knowledge management: organization competence and methodolgy. Proceedings of the Fourth International ISMICK Symposium, 21-22 October 1996, Netherlands. Ed.: J.F. Schreinemakers
  7. Malsburg, C. von der: Concerning the neuronal code (2018) 0.01
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    Date
    27.12.2020 16:56:22
  8. Cooke, N.A.; Kitzie, V.L.: Outsiders-within-Library and Information Science : reprioritizing the marginalized in critical sociocultural work (2021) 0.01
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    Date
    18. 9.2021 13:22:27
  9. Atran, S.; Medin, D.L.; Ross, N.: Evolution and devolution of knowledge : a tale of two biologies (2004) 0.01
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    Date
    23. 1.2022 10:22:18
  10. Eiriksson, J.M.; Retsloff, J.M.: Librarians in the 'information age' : promoter of change or provider of stability? (2005) 0.01
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    Date
    22. 7.2009 11:23:22
  11. Raban, D.R.; Rafaeli, S.: ¬The effect of source nature and status on the subjective value of information (2006) 0.01
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    Date
    22. 7.2006 15:09:35
  12. Zhang, P.; Soergel, D.: Towards a comprehensive model of the cognitive process and mechanisms of individual sensemaking (2014) 0.01
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    Date
    22. 8.2014 16:55:39
  13. Leydesdorff, L.; Johnson, M.W.; Ivanova, I.: Toward a calculus of redundancy : signification, codification, and anticipation in cultural evolution (2018) 0.01
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    Date
    29. 9.2018 11:22:09
  14. Albright, K.: Multidisciplinarity in information behavior : expanding boundaries or fragmentation of the field? (2010) 0.01
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    Date
    16. 3.2019 17:32:22
  15. Yang, F.; Zhang, X.: Focal fields in literature on the information divide : the USA, China, UK and India (2020) 0.01
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    Date
    13. 2.2020 18:22:13
  16. Hartel, J.: ¬The red thread of information (2020) 0.01
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    Date
    30. 4.2020 21:03:22
  17. Belabbes, M.A.; Ruthven, I.; Moshfeghi, Y.; Rasmussen Pennington, D.: Information overload : a concept analysis (2023) 0.01
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    Date
    22. 4.2023 19:27:56
  18. Crane, G.; Jones, A.: Text, information, knowledge and the evolving record of humanity (2006) 0.01
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    Abstract
    Consider a sentence such as "the current price of tea in China is 35 cents per pound." In a library with millions of books we might find many statements of the above form that we could capture today with relatively simple rules: rather than pursuing every variation of a statement, programs can wait, like predators at a water hole, for their informational prey to reappear in a standard linguistic pattern. We can make inferences from sentences such as "NAME1 born at NAME2 in DATE" that NAME more likely than not represents a person and NAME a place and then convert the statement into a proposition about a person born at a given place and time. The changing price of tea in China, pedestrian birth and death dates, or other basic statements may not be truth and beauty in the Phaedrus, but a digital library that could plot the prices of various commodities in different markets over time, plot the various lifetimes of individuals, or extract and classify many events would be very useful. Services such as the Syllabus Finder1 and H-Bot2 (which Dan Cohen describes elsewhere in this issue of D-Lib) represent examples of information extraction already in use. H-Bot, in particular, builds on our evolving ability to extract information from very large corpora such as the billions of web pages available through the Google API. Aside from identifying higher order statements, however, users also want to search and browse named entities: they want to read about "C. P. E. Bach" rather than his father "Johann Sebastian" or about "Cambridge, Maryland", without hearing about "Cambridge, Massachusetts", Cambridge in the UK or any of the other Cambridges scattered around the world. Named entity identification is a well-established area with an ongoing literature. The Natural Language Processing Research Group at the University of Sheffield has developed its open source Generalized Architecture for Text Engineering (GATE) for years, while IBM's Unstructured Information Analysis and Search (UIMA) is "available as open source software to provide a common foundation for industry and academia." Powerful tools are thus freely available and more demanding users can draw upon published literature to develop their own systems. Major search engines such as Google and Yahoo also integrate increasingly sophisticated tools to categorize and identify places. The software resources are rich and expanding. The reference works on which these systems depend, however, are ill-suited for historical analysis. First, simple gazetteers and similar authority lists quickly grow too big for useful information extraction. They provide us with potential entities against which to match textual references, but existing electronic reference works assume that human readers can use their knowledge of geography and of the immediate context to pick the right Boston from the Bostons in the Getty Thesaurus of Geographic Names (TGN), but, with the crucial exception of geographic location, the TGN records do not provide any machine readable clues: we cannot tell which Bostons are large or small. If we are analyzing a document published in 1818, we cannot filter out those places that did not yet exist or that had different names: "Jefferson Davis" is not the name of a parish in Louisiana (tgn,2000880) or a county in Mississippi (tgn,2001118) until after the Civil War.
  19. San Segundo, R.: ¬A new conception of representation of knowledge (2004) 0.01
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    Date
    2. 1.2005 18:22:25
  20. Benkowsky, J.; Bühring, B.; Georgy, U.; Linde, F.: Information pricing : the development of a product- and pricing concept for the research centre of the Public Library Cologne (2005) 0.01
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    Date
    22. 7.2009 9:24:59

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