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  1. Burnett, A.J.: ¬An exploratory study of hypertext processing strategies (1991) 0.09
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    Footnote
    Ph.D. Diss.; Order no.: 91-29129 // Rez. in: Library and information science research 1993, Fall, S.386-388 (T. Gillespie)
  2. Ingenerf, J.: Benutzeranpaßbare semantische Sprachanalyse und Begriffsrepräsentation für die medizinische Dokumentation (1993) 0.01
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    Abstract
    This dissertation aims at representing concepts of medical subjects as well as statements on medical subjects independent of medical terminology, in order to overcome the problems of interpretation and further elaboration of entries in an ordering system such as SNOMED, MeSH-Thesaurus or ICD Classification. The approach of a compositional, semantic language analysis developed here implies specific demands from a conceptual modelling and utilizes the following methods: (1) a characteristics-based grammar formalism for represenatation of terminological structures, to be analyzed, (2) a terminological representation formalism for a conceptual-intensionally-oriented representation of a concept system, and (3) a modified chart-parser for grammatical derivation
    Footnote
    Rez. in: Knowledge organization 22(1995) no.2, S.102-103 (P. Hucklenbroich)
  3. Janes, J.W.: Towards a search theory of information (1989) 0.01
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  4. Perez, E.R.: ¬A study of traditional information access models applied to a hypertext information system (1991) 0.01
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    Footnote
    Ph.D. Diss.; Order no.: 92-19620 // Rez. in: Library and information science research 1993, Fall, S.386-388 (T. Gillespie)
  5. Schreiweis, U.: Hypertextstrukturen als Grundlage für integrierte Wissensakquisitionssysteme (1993) 0.01
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    Date
    19.10.1995 10:22:53
  6. Tahani, V.: ¬A general conceptual framework for information retrieval systems (1972) 0.01
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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
  7. Hjoerland, B.: Subject representation and information seeking : contributions to a theory based on the theory of knowledge (1993) 0.01
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  8. 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) 0.01
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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
    Source
    International forum on information and documentation. 5(1980) S.9-11
  9. Retterer, O.J.: Learning from a hypertext (1991) 0.01
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    Footnote
    Ph.D. Diss.; Order no.: 92-00771 // Rez. in: Library and information science research 1993, Fall, S.386-388 (T. Gillespie)
  10. Ruge, G.: Sprache und Computer : Wortbedeutung und Termassoziation. Methoden zur automatischen semantischen Klassifikation (1995) 0.01
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    Footnote
    Rez. in: Knowledge organization 22(1995) no.3/4, S.182-184 (M.T. Rolland)
  11. Kaiser, A.: Computer-unterstütztes Indexieren in Intelligenten Information Retrieval Systemen : Ein Relevanz-Feedback orientierter Ansatz zur Informationserschließung in unformatierten Datenbanken (1993) 0.00
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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.
    Dazu sind folgende Teile eines IR-Systems notwendig: * Informationserschließung Eine Komponente zur Erschließung und Darstellung der gespeicherten Informationen. Dieser Teil dient dazu, den Inhalt der Dokumente zu beschreiben und so darzustellen, daß aufgrund dieser Merkmale ein Dokument gefunden werden kann. Eine Möglichkeit dazu besteht darin, den Dokumenten inhaltsbeschreibende Deskriptoren zuzuordnen. Durch den Prozeß der Indexierung werden die Dokumente in eine Indexierungssprache übersetzt. * Query-Language (Abfragesprache) Eine Komponente zur Formulierung der Suchanfragen des Benutzers. Dieser Teil dient dazu, die Suchanfrage des Benutzers so zu verarbeiten, daß mit der aus der Frage gewonnenen Information über die Bedürfnisse des Benutzers die passenden Dokumente gefunden werden können. * Informationsausgabe - Informationsaufbereitung Eine Komponente zur Ausgabe der auf Grund der Suchanfrage gefundenen Informationen. Dieser Teil stellt das Ergebnis der Suchanfrage dem Benutzer zur Verfügung.
    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.
  12. Schäuble, P.: Information retrieval based on information structures (1989) 0.00
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  13. Panyr, J.: Automatische Klassifikation und Information Retrieval : Anwendung und Entwicklung komplexer Verfahren in Information-Retrieval-Systemen und ihre Evaluierung (1986) 0.00
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    Series
    Sprache und Information; Bd.12
  14. Hammwöhner, R.: Automatischer Aufbau von Hypertext-Basen aus deskriptiv expositorischen Texten : ein Hypertext-Modell für das Information-Retrieval (1990) 0.00
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  15. Fenichel, C.H.: Online information retrieval : identification of measures that discriminate among users with different levels of types of experience (1979) 0.00
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  16. Caraballo, R.; Angel, L.: ¬An experimental study to investigate the effects of computer animation on the understanding and retention of selected levels of learning outcomes (1985) 0.00
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    Theme
    Information
  17. Meyer, J.: ¬Die Verwendung hierarchisch strukturierter Sprachnetzwerke zur redundanzarmen Codierung von Texten (1989) 0.00
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    Information
  18. Ultsch, A.G.: Control for knowledge-based information retrieval (1987) 0.00
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  19. Herrmann, T.: Zur Gestaltung der Mensch-Computer-Interaktion : Systemerklärung als kommunikatives Problem (1986) 0.00
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    Sprache und Information; Bd.14
  20. Vogel, E.: Informationsmanagement: berufliche Anforderungen und Konsequenzen für die Ausbildung (1992) 0.00
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    Theme
    Information Resources Management

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