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Biebricher, N.; Fuhr, N.; Lustig, G.; Schwantner, M.; Knorz, G.: ¬The automatic indexing system AIR/PHYS : from research to application (1988) 0.08

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Date: 16. 8.1998 12:51:22

Fuhr, N.: Rankingexperimente mit gewichteter Indexierung (1986) 0.08

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Date: 14. 6.2015 22:12:56
Source: Automatische Indexierung zwischen Forschung und Anwendung, Hrsg.: G. Lustig

Biebricher, P.; Fuhr, N.; Lustig, G.; Schwantner, M.; Knorz, G.: ¬Das automatische Indexierungssystem AIR/PHYS (1988) 0.03

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Fuhr, N.; Niewelt, B.: ¬Ein Retrievaltest mit automatisch indexierten Dokumenten (1984) 0.02

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Date: 20.10.2000 12:22:23

Fuhr, N.; Knorz, G.: Retrieval test evaluation of a rule based automatic indexing (AIR/PHYS) (1984) 0.02

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Ammersbach, K.; Fuhr, N.; Knorz, G.: Empirisch gestützte Konzeption einer neuen Generation von Werkstoffdatenbanken (1988) 0.02

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Biebricher, P.; Fuhr, N.; Knorz, G.; Lustig, G.; Schwandtner, M.: Entwicklung und Anwendung des automatischen Indexierungssystems AIR/PHYS (1988) 0.02

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Fuhr, N.: Ranking-Experimente mit gewichteter Indexierung (1986) 0.02

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Date: 14. 6.2015 22:12:44

Biebricher, P.; Fuhr, N.; Niewelt, B.: ¬Der AIR-Retrievaltest (1986) 0.02

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Source: Automatische Indexierung zwischen Forschung und Anwendung, Hrsg.: G. Lustig

Fuhr, N.; Kuhlen, R.; Ockenfeld, M.; Womser-Hacker, C.: Gerhard Knorz ┼ : Prof. Dr. Gerhard Knorz, geboren am 21. Juni 1951, ist am 16. März 2015 im Alter von 63 Jahren verstorben (2015) 0.02

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Biographed: Knorz, G.

Kazai, G.; Lalmas, M.; Fuhr, N.; Gövert, N.: ¬A report an the first year of the INitiative for the Evaluation of XML Retrieval (INEX'02) (2004) 0.01

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Klas, C.-P.; Fuhr, N.; Schaefer, A.: Evaluating strategic support for information access in the DAFFODIL system (2004) 0.01

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Date: 16.11.2008 16:22:48

Fuhr, N.: Modelle im Information Retrieval (2023) 0.01
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Abstract

Information-Retrieval-Modelle -(IR-Modelle) spezifizieren, wie zu einer gegebenen Anfrage die Antwortdokumente aus einer Dokumentenkollektion bestimmt werden. Ausgangsbasis jedes Modells sind dabei zunächst bestimmte Annahmen über die Wissensrepräsentation (s. Teil B Methoden und Systeme der Inhaltserschließung) von Fragen und Dokumenten. Hier bezeichnen wir die Elemente dieser Repräsentationen als Terme, wobei es aus der Sicht des Modells egal ist, wie diese Terme aus dem Dokument (und analog aus der von Benutzenden eingegebenen Anfrage) abgeleitet werden: Bei Texten werden hierzu häufig computerlinguistische Methoden eingesetzt, aber auch komplexere automatische oder manuelle Erschließungsverfahren können zur Anwendung kommen. Repräsentationen besitzen ferner eine bestimmte Struktur. Ein Dokument wird meist als Menge oder Multimenge von Termen aufgefasst, wobei im zweiten Fall das Mehrfachvorkommen berücksichtigt wird. Diese Dokumentrepräsentation wird wiederum auf eine sogenannte Dokumentbeschreibung abgebildet, in der die einzelnen Terme gewichtet sein können. Im Folgenden unterscheiden wir nur zwischen ungewichteter (Gewicht eines Terms ist entweder 0 oder 1) und gewichteter Indexierung (das Gewicht ist eine nichtnegative reelle Zahl). Analog dazu gibt es eine Fragerepräsentation; legt man eine natürlichsprachige Anfrage zugrunde, so kann man die o. g. Verfahren für Dokumenttexte anwenden. Alternativ werden auch grafische oder formale Anfragesprachen verwendet, wobei aus Sicht der Modelle insbesondere deren logische Struktur (etwa beim Booleschen Retrieval) relevant ist. Die Fragerepräsentation wird dann in eine Fragebeschreibung überführt.

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