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Abstract

In der linearen Struktur eines natursprachigen Textes sind zwangsläufig viele syntaktisch verknüpfte Begriffe getrennt. Dier hierdurch bedingte Mangel an Ordnung zwingt dazu, einen Text von Anfang bis zu Ende durchzulesen, bevor man einen Überblick über das Umfeld eines gesuchten begriffes gewonnen hat. Noch im letzten Satz kann hierzu eine wichtige Aussage gemacht worden sein. Hat man in einem Informationssystem eine kategorisierte Indexsprache zur Verfügung, so lassen sich im Interesse eines besseren Überblickes und einer höheren Ordnung die zusammengehörenden Begriffe eines Textes nach einfachen Regeln zweidimensional gruppieren

Content

Mit dem Vorschlag eines sog. 'Positionsindexates', um den Kontext zu ermitteln, in dem Begriffe im Dokument vorkommen

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Abstract

Das Buch ist ein umfassendes Kompendium der Inhaltserschließung. Es informiert gleichermaßen kompetent über theoretische Grundlagen und Methoden der inhaltlichen Erschließung wie auch über die im praktischen Einsatz auftretenden Probleme der Fragen und zeigt Wege zu ihrer Lösung auf. Der Wert eines Thesaurus als Basis geordneten Wissens wird ebenso behandelt wie verschiedene Arten klassifikatorischer Systeme und ihre Handhabung beim Aufbau von Datenbanken und Dokumentationen. Indexierungspraxis und ihre Auswirkung auf die Qualität der Dokumentation und die späteren Retrievalmöglichkeiten werden in einer leichtnachvollziehbaren, aus gründlicher Überlegung und intensiver praktischer Erfahrung rührenden Form vermittelt. Das Buch eignet sich gleichermaßen als Lehrbuch an Hochschulen wie auch als Nachschlagewerk, Ratgeber und Entscheidungshilfe in der praktischen Arbeit, wozu auch das ungewöhnlich ausführliche Register beiträgt

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Abstract

Contemporary research in information science has concentrated on the development of methods for the algorithmic processing of natural language texts. Often, the equivalence of this approach to the intellectual technique of content analysis and indexing is claimed. It is, however, disregarded that contemporary intellectual techniques are far from exploiting their full capabilities. This is largely due to the omission of vocabulary categorisation. It is demonstrated how categorisation can drastically improve the quality of indexing and classification, and, hence, of retrieval

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Abstract

The low effectiveness of most current information systems has often been pointed out and deplored. A number of misconceptions and experiments under unrealistic conditions have contributed to the faulty design and evaluation of information systems. The postulate of representational predictibility can help to clarify some of the still pending issues as there are the strenghts and limitations of uncontrolled natural language text in retrieval systems, factors for their evaluation, the reliability, consistency, and exhaustivity of indexing, the postulated 'inverse precision-recall relationship', and the usefulness of syntactical evices. The performance of information systems can be imporved if representational predictibility is aimed at in their design and operational use

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Content

Enthält folgende Kapitel: Information and information systems; Information system survival power; Theoretical considerations on information storage and retrieval; Indexing (representation of the essence of documents; extractive, assignment, consistent indexing, indexing and abstracting, book indexing, index language vocabulary, syntax, concept analysis, evaluation of indexing quality); Technology of information supply; Glossary of terms used; Systematic and 'basic index'