-
Lester, M.A.: Coincidence of user vocabulary and Library of Congress Subject Headings : experiments to improve subject access in academic library online catalogs (1989)
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- Theme
- Verbale Doksprachen im Online-Retrieval
-
Schabas, A.H.: ¬A comparative evaluation of the retrieval effectiveness of titles, Library of Congress Subject Headings and PRECIS strings for computer searching of UK MARC data (1979)
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- Theme
- Verbale Doksprachen im Online-Retrieval
-
Riesthuis, G.J.A.: Zoeken met woorden : hergebruik van onderwerpsontsluiting (1998)
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- Theme
- Klassifikationssysteme im Online-Retrieval
-
Fenichel, C.H.: Online information retrieval : identification of measures that discriminate among users with different levels of types of experience (1979)
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-
Kaiser, A.: Computer-unterstütztes Indexieren in Intelligenten Information Retrieval Systemen : Ein Relevanz-Feedback orientierter Ansatz zur Informationserschließung in unformatierten Datenbanken (1993)
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- Abstract
- Information ist in unserer Zeit zu einem sehr wichtigen Gut geworden. Sie ist Grundlage jeglicher seriösen Entscheidungsfindung. Die Informationsflut ist in den letzten Jahren stark angestiegen und auch in absehbarer Zeit wird die Menge der Informationen weiter anwachsen. Daher wird es immer wichtiger, sich ''Information über Information'' zu organisieren. Es ist nicht möglich, über alle Bereiche, mit denen man konfrontiert wird, im letzten Detail informiert zu sein. Notwendig und wichtig ist es aber zu wissen, wo man sich informieren kann. Relevante Informationen müssen möglichst rasch gefunden werden können. Im praktischen, EDV-unterstützten Einsatz findet man zu diesem Zweck Informationssysteme verschiedenster Art. Das Spektrum reicht dabei von Management-Informationssystemen, über Expertensysteme bis zu Datenbanksystemen und Information Retrieval Systemen (IR-Systemen). Obwohl die einzelnen Typen dieser informationsverarbeitenden Systeme für unterschiedliche Anwendergruppen und unterschiedliche Aufgabenarten konzipiert sind, ergeben sich beim Entwurf der Systeme doch sehr ähnlich gelagerte Problemkreise und Fragestellungen. * Die Darstellung und die Organisation von bestehendem Wissen und bekannten Fakten im Informationssystem (Informationserschließung). * Das (Wieder)finden relevanter Informationen aus dem Informationssystem und das Führen des Benutzers durch das Informationssystem. Ein Information Retrieval System beinhaltet unstrukturierte bibliographische oder textuelle Dokumente und unterscheidet sich dadurch wesentlich von Datenbanksystemen, die für gewöhnlich strukturierte Daten enthalten.
Konventionelle, formatierte Datenbanken sind heute in der Praxis bereits weit verbreitet. Dies nicht zuletzt auch deshalb, weil unter anderem die standardisierte Abfragesprache SQL existiert und insbesondere bei relationalen Datenbanksystemen die Forschung intensiv an Verbesserungen in Aufbau und Performance der Systeme arbeitet. Die Verbreitung und Akzeptanz von unformatierten Datenbanken, Information Retrieval Systemen, ist hingegen bei weitem nicht so weit gediehen. Ein Grund dafür ist in der mangelnden Benutzerfreundlichkeit der IR-Systeme und in unzulänglichen Methoden der Informationserschließung zu suchen. Mit der vorliegenden Arbeit soll eine Methode zur Informationserschliessung in Information Retrieval Systemen entwickelt werden, die die Bedürfnisse des Benutzers in den Mittelpunkt stellt und so einen Beitrag dazu leistet, die Akzeptanz und Verbreitung von Information Retrieval Systemen, insbesondere für den Bürobereich, zu erhöhen. Die Fragestellung lautet somit: Ist es möglich, den Benutzer bereits im Stadium der Indexierung von Dokumenten in verstärktem Maße miteinzubeziehen, ohne dabei aber auf die maschinelle Unterstützung völlig zu verzichten, wie dies bei der manuellen Indexierung der Fall ist. Jedes Retrievalsystem kann als ein System beschrieben werden, das aus einer Menge von Dokumenten und einer Menge von Suchfragen besteht und das einen Mechanismus enthält, der die für eine Suchanfrage relevanten Dokumente bestimmt.
Es würde den Rahmen der Arbeit sprengen, alle Komponenten eines Information Retrieval Systems zu untersuchen. Daher wird ein Schwerpunkt auf die Informationserschließung gelegt. Dabei wird die (semi)automatische Indexierung von Dokumenten zum Zwecke des Information Retrievals, also der Vorgang der Übersetzung der Dokumente in eine Indexierungssprache genauer behandelt. Dieser Schwerpunkt wurde unter anderem deshalb gewählt, weil meiner Ansicht nach die festzustellende mangelnde Akzeptanz von Information Retrieval Systemen auch damit zu begründen ist, daß die in der Praxis eingesetzten Indexierungskomponenten der Systeme zur Zeit noch nicht den Leistungsumfang erbringen, den der Benutzer von einem ''Intelligenten Information Retrieval System'' erwartet. Ziel der Arbeit ist es, ein Modell zur automatischen Indexierung schrittweise zu entwickeln, das den Benutzer in stärkerem Maße in die Indexierung mit einbezieht, als dies bei den in Literatur und Praxis beschriebenen Verfahren der Fall ist.
-
Piekara, F.H.: Wie idiosynkratisch ist Wissen? : Individuelle Unterschiede im Assoziieren und bei der Anlage und Nutzung von Informationssystemen (1988)
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- Abstract
- Gegenstand dieser Arbeit sind die Unterschiede im Wissen zwischen Personen. Um eine Bestimmung der bestehenden Unterschiede im alltäglichen Wissen zwischen Personen vornehmen zu können, wird der begriff "Wissen" expliziert, der Beitrag verschiedener Wissensrepräsentationskonzeptionen zur Beschreibung von Wissen und somit von Wissensunterschieden diskutiert und schließlich verschiedene Methoden zur Bestimmung von Wissen und Wissensunterschieden aus dem Verhalten dargstellt und bewertet. Durch den inter- und Intraindividuellen Vergleich von Assoziationen wird das Ausmaß an Unterschieden im Wissen zwischen 2 Personen auf 24-27% geschätzt
-
Vomberg, E.: Gestaltungsperspektiven für Mensch-Maschine-Interaktion im Lichte der Struktureigenschaften sprachlicher Kommunikation (1989)
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-
Schreiweis, U.: Hypertextstrukturen als Grundlage für integrierte Wissensakquisitionssysteme (1993)
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- Date
- 19.10.1995 10:22:53
-
Wormell, I.: Subject access project - SAP : Improved subject retrieval for monographic publications (1985)
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-
Harper, D.J.: Relevance feedback in document retrieval (1980)
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-
Tahani, V.: ¬A general conceptual framework for information retrieval systems (1972)
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- Abstract
- Develops a conceptual framework for information retrieval systems which admit of imprecision in the form of fuzziness in document characterization, retrieval rules, and file structures. A mathematical model for such systems, based on the theory of fuzzy sets, is introduced
-
Panyr, J.: Automatische Klassifikation und Information Retrieval : Anwendung und Entwicklung komplexer Verfahren in Information-Retrieval-Systemen und ihre Evaluierung (1986)
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-
Connell, T.H.: Librarian subject searching in online catalogs : an exploratory study of knowledge used (1991)
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-
Bellardo, T.: Some attributes of online search intermediaries that relate to search outcome (1984)
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Hammwöhner, R.: Automatischer Aufbau von Hypertext-Basen aus deskriptiv expositorischen Texten : ein Hypertext-Modell für das Information-Retrieval (1990)
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Schäuble, P.: Information retrieval based on information structures (1989)
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Jochum, F.: Semantische Repräsentationssprachen in Dokumenten-Retrieval-Systemen (1982)
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Ultsch, A.G.: Control for knowledge-based information retrieval (1987)
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Fuhr, N.: Probabilistisches Indexing and Retrieval (1988)
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Dovbenko, M.A.; Umanski, A.N.: ¬A comparative analysis of information retrieval thesauri and normalised scientific and technical terminologies with the aim of their coordinated development (1980)
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- Abstract
- The authors analyse the specifics and results of lexical processing of scientific and technical texts for the purposes of information retrieval thesauri compilation and terminology unification. General and particular methods are identified for terms' meanings representation in thesauri and terminological systems. Procedures are proposed for concurrent solution of information retrieval tasks in descriptor systems and of terminology unification problems
