Search (4 results, page 1 of 1)

0.1318309 = product of:
  0.19774634 = sum of:
    0.067437425 = weight(_text_:wide in 2673) [ClassicSimilarity], result of:
      0.067437425 = score(doc=2673,freq=2.0), product of:
        0.19679762 = queryWeight, product of:
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.044416238 = queryNorm
        0.342674 = fieldWeight in 2673, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.0546875 = fieldNorm(doc=2673)
    0.063368805 = weight(_text_:web in 2673) [ClassicSimilarity], result of:
      0.063368805 = score(doc=2673,freq=6.0), product of:
        0.14495286 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.044416238 = queryNorm
        0.43716836 = fieldWeight in 2673, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0546875 = fieldNorm(doc=2673)
    0.04587784 = weight(_text_:computer in 2673) [ClassicSimilarity], result of:
      0.04587784 = score(doc=2673,freq=2.0), product of:
        0.16231956 = queryWeight, product of:
          3.6545093 = idf(docFreq=3109, maxDocs=44218)
          0.044416238 = queryNorm
        0.28263903 = fieldWeight in 2673, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.6545093 = idf(docFreq=3109, maxDocs=44218)
          0.0546875 = fieldNorm(doc=2673)
    0.021062255 = product of:
      0.04212451 = sum of:
        0.04212451 = weight(_text_:22 in 2673) [ClassicSimilarity], result of:
          0.04212451 = score(doc=2673,freq=2.0), product of:
            0.1555381 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.044416238 = queryNorm
            0.2708308 = fieldWeight in 2673, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0546875 = fieldNorm(doc=2673)
      0.5 = coord(1/2)
  0.6666667 = coord(4/6)

Abstract

Examines techniques that discover features in sets of pre-categorized documents, such that similar documents can be found on the WWW. Examines techniques which will classifiy training examples with high accuracy, then explains why this is not necessarily useful. Describes a method for extracting word clusters from the raw document features. Results show that the clustering technique is successful in discovering word groups in personal Web pages which can be used to find similar information on the WWW

Date

1. 8.1996 22:08:06

Footnote

Contribution to a special issue of papers from the 6th International World Wide Web conference, held 7-11 Apr 1997, Santa Clara, California

Source

Computer networks and ISDN systems. 29(1997) no.8, S.1147-1156

0.009717524 = product of:
  0.058305144 = sum of:
    0.058305144 = product of:
      0.11661029 = sum of:
        0.11661029 = weight(_text_:programs in 3105) [ClassicSimilarity], result of:
          0.11661029 = score(doc=3105,freq=4.0), product of:
            0.25748047 = queryWeight, product of:
              5.79699 = idf(docFreq=364, maxDocs=44218)
              0.044416238 = queryNorm
            0.45288983 = fieldWeight in 3105, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              5.79699 = idf(docFreq=364, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3105)
      0.5 = coord(1/2)
  0.16666667 = coord(1/6)

Abstract

This paper explores the possible role of named entities in an automatic index-ing process, based on text in subtitles. This is done by analyzing entity types, name den-sity and name frequencies in subtitles and metadata records from different TV programs. The name density in metadata records is much higher than the name density in subtitles, and named entities with high frequencies in the subtitles are more likely to be mentioned in the metadata records. Personal names, geographical names and names of organizations where the most prominent entity types in both the news subtitles and news metadata, while persons, works and locations are the most prominent in culture programs.

0.005461648 = product of:
  0.03276989 = sum of:
    0.03276989 = weight(_text_:computer in 3667) [ClassicSimilarity], result of:
      0.03276989 = score(doc=3667,freq=2.0), product of:
        0.16231956 = queryWeight, product of:
          3.6545093 = idf(docFreq=3109, maxDocs=44218)
          0.044416238 = queryNorm
        0.20188503 = fieldWeight in 3667, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.6545093 = idf(docFreq=3109, maxDocs=44218)
          0.0390625 = fieldNorm(doc=3667)
  0.16666667 = coord(1/6)

Series

Communications in computer and information science; 544

0.0034843804 = product of:
  0.020906283 = sum of:
    0.020906283 = weight(_text_:web in 753) [ClassicSimilarity], result of:
      0.020906283 = score(doc=753,freq=2.0), product of:
        0.14495286 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.044416238 = queryNorm
        0.14422815 = fieldWeight in 753, 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=753)
  0.16666667 = coord(1/6)

Content

Inhalt: Editorial - Michael Franke-Maier, Anna Kasprzik, Andreas Ledl und Hans Schürmann Qualität in der Inhaltserschließung - Ein Überblick aus 50 Jahren (1970-2020) - Andreas Ledl Fit for Purpose - Standardisierung von inhaltserschließenden Informationen durch Richtlinien für Metadaten - Joachim Laczny Neue Wege und Qualitäten - Die Inhaltserschließungspolitik der Deutschen Nationalbibliothek - Ulrike Junger und Frank Scholze Wissensbasen für die automatische Erschließung und ihre Qualität am Beispiel von Wikidata - Lydia Pintscher, Peter Bourgonje, Julián Moreno Schneider, Malte Ostendorff und Georg Rehm Qualitätssicherung in der GND - Esther Scheven Qualitätskriterien und Qualitätssicherung in der inhaltlichen Erschließung - Thesenpapier des Expertenteams RDA-Anwendungsprofil für die verbale Inhaltserschließung (ET RAVI) Coli-conc - Eine Infrastruktur zur Nutzung und Erstellung von Konkordanzen - Uma Balakrishnan, Stefan Peters und Jakob Voß Methoden und Metriken zur Messung von OCR-Qualität für die Kuratierung von Daten und Metadaten - Clemens Neudecker, Karolina Zaczynska, Konstantin Baierer, Georg Rehm, Mike Gerber und Julián Moreno Schneider Datenqualität als Grundlage qualitativer Inhaltserschließung - Jakob Voß Bemerkungen zu der Qualitätsbewertung von MARC-21-Datensätzen - Rudolf Ungváry und Péter Király Named Entity Linking mit Wikidata und GND - Das Potenzial handkuratierter und strukturierter Datenquellen für die semantische Anreicherung von Volltexten - Sina Menzel, Hannes Schnaitter, Josefine Zinck, Vivien Petras, Clemens Neudecker, Kai Labusch, Elena Leitner und Georg Rehm Ein Protokoll für den Datenabgleich im Web am Beispiel von OpenRefine und der Gemeinsamen Normdatei (GND) - Fabian Steeg und Adrian Pohl Verbale Erschließung in Katalogen und Discovery-Systemen - Überlegungen zur Qualität - Heidrun Wiesenmüller Inhaltserschließung für Discovery-Systeme gestalten - Jan Frederik Maas Evaluierung von Verschlagwortung im Kontext des Information Retrievals - Christian Wartena und Koraljka Golub Die Qualität der Fremddatenanreicherung FRED - Cyrus Beck Quantität als Qualität - Was die Verbünde zur Verbesserung der Inhaltserschließung beitragen können - Rita Albrecht, Barbara Block, Mathias Kratzer und Peter Thiessen Hybride Künstliche Intelligenz in der automatisierten Inhaltserschließung - Harald Sack