Search (3 results, page 1 of 1)

  • × theme_ss:"Suchmaschinen"
  • × theme_ss:"Automatisches Klassifizieren"
  1. Jenkins, C.: Automatic classification of Web resources using Java and Dewey Decimal Classification (1998) 0.06
    0.061869845 = product of:
      0.12373969 = sum of:
        0.12373969 = sum of:
          0.07432922 = weight(_text_:web in 1673) [ClassicSimilarity], result of:
            0.07432922 = score(doc=1673,freq=6.0), product of:
              0.17002425 = queryWeight, product of:
                3.2635105 = idf(docFreq=4597, maxDocs=44218)
                0.052098576 = queryNorm
              0.43716836 = fieldWeight in 1673, 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=1673)
          0.049410466 = weight(_text_:22 in 1673) [ClassicSimilarity], result of:
            0.049410466 = score(doc=1673,freq=2.0), product of:
              0.18244034 = queryWeight, product of:
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.052098576 = queryNorm
              0.2708308 = fieldWeight in 1673, 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=1673)
      0.5 = coord(1/2)
    
    Abstract
    The Wolverhampton Web Library (WWLib) is a WWW search engine that provides access to UK based information. The experimental version developed in 1995, was a success but highlighted the need for a much higher degree of automation. An interesting feature of the experimental WWLib was that it organised information according to DDC. Discusses the advantages of classification and describes the automatic classifier that is being developed in Java as part of the new, fully automated WWLib
    Date
    1. 8.1996 22:08:06
    Footnote
    Contribution to a special issue devoted to the Proceedings of the 7th International World Wide Web Conference, held 14-18 April 1998, Brisbane, Australia; vgl. auch: http://www7.scu.edu.au/programme/posters/1846/com1846.htm.
  2. Krüger, C.: Evaluation des WWW-Suchdienstes GERHARD unter besonderer Beachtung automatischer Indexierung (1999) 0.01
    0.01083742 = product of:
      0.02167484 = sum of:
        0.02167484 = product of:
          0.04334968 = sum of:
            0.04334968 = weight(_text_:web in 1777) [ClassicSimilarity], result of:
              0.04334968 = score(doc=1777,freq=4.0), product of:
                0.17002425 = queryWeight, product of:
                  3.2635105 = idf(docFreq=4597, maxDocs=44218)
                  0.052098576 = queryNorm
                0.25496176 = fieldWeight in 1777, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  3.2635105 = idf(docFreq=4597, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=1777)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    Die vorliegende Arbeit beinhaltet eine Beschreibung und Evaluation des WWW - Suchdienstes GERHARD (German Harvest Automated Retrieval and Directory). GERHARD ist ein Such- und Navigationssystem für das deutsche World Wide Web, weiches ausschließlich wissenschaftlich relevante Dokumente sammelt, und diese auf der Basis computerlinguistischer und statistischer Methoden automatisch mit Hilfe eines bibliothekarischen Klassifikationssystems klassifiziert. Mit dem DFG - Projekt GERHARD ist der Versuch unternommen worden, mit einem auf einem automatischen Klassifizierungsverfahren basierenden World Wide Web - Dienst eine Alternative zu herkömmlichen Methoden der Interneterschließung zu entwickeln. GERHARD ist im deutschsprachigen Raum das einzige Verzeichnis von Internetressourcen, dessen Erstellung und Aktualisierung vollständig automatisch (also maschinell) erfolgt. GERHARD beschränkt sich dabei auf den Nachweis von Dokumenten auf wissenschaftlichen WWW - Servern. Die Grundidee dabei war, kostenintensive intellektuelle Erschließung und Klassifizierung von lnternetseiten durch computerlinguistische und statistische Methoden zu ersetzen, um auf diese Weise die nachgewiesenen Internetressourcen automatisch auf das Vokabular eines bibliothekarischen Klassifikationssystems abzubilden. GERHARD steht für German Harvest Automated Retrieval and Directory. Die WWW - Adresse (URL) von GERHARD lautet: http://www.gerhard.de. Im Rahmen der vorliegenden Diplomarbeit soll eine Beschreibung des Dienstes mit besonderem Schwerpunkt auf dem zugrundeliegenden Indexierungs- bzw. Klassifizierungssystem erfolgen und anschließend mit Hilfe eines kleinen Retrievaltests die Effektivität von GERHARD überprüft werden.
  3. Search Engines and Beyond : Developing efficient knowledge management systems, April 19-20 1999, Boston, Mass (1999) 0.01
    0.0061305705 = product of:
      0.012261141 = sum of:
        0.012261141 = product of:
          0.024522282 = sum of:
            0.024522282 = weight(_text_:web in 2596) [ClassicSimilarity], result of:
              0.024522282 = score(doc=2596,freq=2.0), product of:
                0.17002425 = queryWeight, product of:
                  3.2635105 = idf(docFreq=4597, maxDocs=44218)
                  0.052098576 = queryNorm
                0.14422815 = fieldWeight in 2596, 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=2596)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Content
    Ramana Rao (Inxight, Palo Alto, CA) 7 ± 2 Insights on achieving Effective Information Access Session One: Updates and a twelve month perspective Danny Sullivan (Search Engine Watch, US / England) Portalization and other search trends Carol Tenopir (University of Tennessee) Search realities faced by end users and professional searchers Session Two: Today's search engines and beyond Daniel Hoogterp (Retrieval Technologies, McLean, VA) Effective presentation and utilization of search techniques Rick Kenny (Fulcrum Technologies, Ontario, Canada) Beyond document clustering: The knowledge impact statement Gary Stock (Ingenius, Kalamazoo, MI) Automated change monitoring Gary Culliss (Direct Hit, Wellesley Hills, MA) User popularity ranked search engines Byron Dom (IBM, CA) Automatically finding the best pages on the World Wide Web (CLEVER) Peter Tomassi (LookSmart, San Francisco, CA) Adding human intellect to search technology Session Three: Panel discussion: Human v automated categorization and editing Ev Brenner (New York, NY)- Chairman James Callan (University of Massachusetts, MA) Marc Krellenstein (Northern Light Technology, Cambridge, MA) Dan Miller (Ask Jeeves, Berkeley, CA) Session Four: Updates and a twelve month perspective Steve Arnold (AIT, Harrods Creek, KY) Review: The leading edge in search and retrieval software Ellen Voorhees (NIST, Gaithersburg, MD) TREC update Session Five: Search engines now and beyond Intelligent Agents John Snyder (Muscat, Cambridge, England) Practical issues behind intelligent agents Text summarization Therese Firmin, (Dept of Defense, Ft George G. Meade, MD) The TIPSTER/SUMMAC evaluation of automatic text summarization systems Cross language searching Elizabeth Liddy (TextWise, Syracuse, NY) A conceptual interlingua approach to cross-language retrieval. Video search and retrieval Armon Amir (IBM, Almaden, CA) CueVideo: Modular system for automatic indexing and browsing of video/audio Speech recognition Michael Witbrock (Lycos, Waltham, MA) Retrieval of spoken documents Visualization James A. Wise (Integral Visuals, Richland, WA) Information visualization in the new millennium: Emerging science or passing fashion? Text mining David Evans (Claritech, Pittsburgh, PA) Text mining - towards decision support