Search (6 results, page 1 of 1)

0.0030757042 = product of:
  0.027681338 = sum of:
    0.027681338 = product of:
      0.055362675 = sum of:
        0.055362675 = weight(_text_:web in 2069) [ClassicSimilarity], result of:
          0.055362675 = score(doc=2069,freq=2.0), product of:
            0.09596372 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.02940506 = queryNorm
            0.5769126 = fieldWeight in 2069, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.125 = fieldNorm(doc=2069)
      0.5 = coord(1/2)
  0.11111111 = coord(1/9)

Source

http://www.kuhlen.name/MATERIALIEN/Vortraege00-Web/tfhu151100.pdf

0.0013279931 = product of:
  0.011951938 = sum of:
    0.011951938 = product of:
      0.023903877 = sum of:
        0.023903877 = weight(_text_:22 in 479) [ClassicSimilarity], result of:
          0.023903877 = score(doc=479,freq=2.0), product of:
            0.10297151 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.02940506 = queryNorm
            0.23214069 = fieldWeight in 479, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.046875 = fieldNorm(doc=479)
      0.5 = coord(1/2)
  0.11111111 = coord(1/9)

Date

23. 1.2022 10:22:18

0.001153389 = product of:
  0.010380501 = sum of:
    0.010380501 = product of:
      0.020761002 = sum of:
        0.020761002 = weight(_text_:web in 2335) [ClassicSimilarity], result of:
          0.020761002 = score(doc=2335,freq=2.0), product of:
            0.09596372 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.02940506 = queryNorm
            0.21634221 = fieldWeight in 2335, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.046875 = fieldNorm(doc=2335)
      0.5 = coord(1/2)
  0.11111111 = coord(1/9)

Abstract

Wie eine gigantische Informationslandschaft tut sich das Internet vor unseren Augen auf. Und seit sich Google im Herbst letzten Jahres mit den Autoren und Verlegern, die die große Suchmaschine wegen Urheberrechtsverletzung verklagt hatten, auf einen Vergleich geeinigt hat, stellt sich die Frage nach der Orientierung im World Wide Web mit neuer Dringlichkeit. Während der letzten vier Jahre hat Google Millionen von Büchern, darunter zahllose urheberrechtlich geschützte Werke, aus den Beständen großer Forschungsbibliotheken digitalisiert und für die Onlinesuche ins Netz gestellt. Autoren und Verleger machten dagegen geltend, dass die Digitalisierung eine Copyrightverletzung darstelle. Nach langwierigen Verhandlungen einigte man sich auf eine Regelung, die gravierende Auswirkungen darauf haben wird, wie Bücher den Weg zu ihren Lesern finden. . . .

8.853288E-4 = product of:
  0.007967959 = sum of:
    0.007967959 = product of:
      0.015935918 = sum of:
        0.015935918 = weight(_text_:22 in 3335) [ClassicSimilarity], result of:
          0.015935918 = score(doc=3335,freq=2.0), product of:
            0.10297151 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.02940506 = queryNorm
            0.15476047 = fieldWeight in 3335, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.03125 = fieldNorm(doc=3335)
      0.5 = coord(1/2)
  0.11111111 = coord(1/9)

7.6892605E-4 = product of:
  0.0069203344 = sum of:
    0.0069203344 = product of:
      0.013840669 = sum of:
        0.013840669 = weight(_text_:web in 3315) [ClassicSimilarity], result of:
          0.013840669 = score(doc=3315,freq=2.0), product of:
            0.09596372 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.02940506 = queryNorm
            0.14422815 = fieldWeight in 3315, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.03125 = fieldNorm(doc=3315)
      0.5 = coord(1/2)
  0.11111111 = coord(1/9)

Abstract

Der Wissensnavigator ist ein Lexikon der Zukunft auf dem Weg zu einer interaktiven Enzyklopädie. Wenn Sie die elektronische Fassung online benutzen, können Sie von den einzelnen Artikeln über Hyperlinks zu Seiten im World Wide Web gelangen, die noch mehr Informationen zum jeweiligen Zukunftsbegriff enthalten. Bei der elektronischen Ausgabe des Wissensnavigators, die auch im Internet zugänglich ist handelt es sich um eine "lebende" Anwendung, die sich gerade auch durch die Mitwirkung der Nutzer weiterentwickelt. Sie sind herzlich eingeladen, zum Teilnehmer dieses Evolutionsprozesses zu werden - etwa, indem Sie neue Begriffe vorschlagen, die aufgenommen werden sollen, oder Experten benennen, die zur Bearbeitung neuer Begriffe in Frage kommen, oder auch sich selbst als Experte zu erkennen geben. Eine Redaktion, die aus dem Autor und einem Expertenteam im Verlag besteht, wird über die Aufnahme neuer Begriffe entscheiden

4.805788E-4 = product of:
  0.004325209 = sum of:
    0.004325209 = product of:
      0.008650418 = sum of:
        0.008650418 = weight(_text_:web in 1182) [ClassicSimilarity], result of:
          0.008650418 = score(doc=1182,freq=2.0), product of:
            0.09596372 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.02940506 = queryNorm
            0.09014259 = fieldWeight in 1182, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.01953125 = fieldNorm(doc=1182)
      0.5 = coord(1/2)
  0.11111111 = coord(1/9)

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.