Document (#31039)

Author

Gerick, T.

Title

¬Die intelligente Such- und Finde-Maschine : Wege aus dem Daten-Smog

Source

Spezialbibliotheken zwischen Auftrag und Ressourcen: 6.-9. September 2005 in München, 30. Arbeits- und Fortbildungstagung der ASpB e.V. / Sektion 5 im Deutschen Bibliotheksverband. Red.: M. Brauer

Imprint

Hannover : ASpB / Sektion 5 im DBV

Year

2006

Pages

S.279-289

Abstract

Schon vor Jahren beschrieb Eugen Roth die Erfahrung, dass Fragen und Antworten nicht in einem ausgewogenen Verhältnis zueinander stehen. Früher war die Masse von Informationen für den Unternehmenserfolg entscheidend, heute ist es deren Klasse. Angesichts explosionsartig ansteigender Informationsmengen wird das rasche Filtern und kontextbezogene Zuliefern wirklich relevanter Informationen zum Schlüsselfaktor für effizientes Knowledge Management. Knowledge Retrieval (KR) befasst sich mit dem technisch gestützten Prozess dieses Wissenstransfers. Auf dem Markt gibt es inzwischen eine Reihe intelligenter Such- und Informationsbewertungs-Technologien. Im Folgenden werden die wichtigsten Anforderungen hierfür skizziert. 20 000 000 000 000 Bücher oder 20 Exabyte umfasst derzeit das geschätzte Gesamtvolumen gespeicherter Informationen weltweit im Internet, in den Unternehmen. Als "die nächste Stufe der Alphabetisierung" bezeichnet der Analyst Peter Lymann deshalb die Fähigkeit, relevante Informationen auszuwählen und zu bewerten. Lymann ist einer der beiden Autoren der zentralen Studie "How much Information?", welche 2000 von der University of California in Berkely erstellt und 2003 aktualisiert wurde. Beeindruckende Zahlen dokumentieren das rasche Anwachsen insbesondere von unstrukturierten Informationen (vgl. Lymann, P./ Varian, H. R.: How Much Information? 2003, 11.11.2005, http://www.sims. berkeley.edu/research/projects/how-much-info2003/printable_report.pdf.).

Content

Inhalt: Einleitung - Informationssuche zeit- und kostspielig - Internet als digitaler Heuhaufen - Anforderungen an eine "ideale" Finde-Maschine - Ausblick

Theme

Suchmaschinen

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