Search (9 results, page 1 of 1)

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Source

Journal of the American Society for Information Science. 42(1991) no.1, S.64-71

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Abstract

Describes correspondence between linguistics and information retrieval. Notes relevant ideas of linguistics which are useful for information retrieval, particularly at the levels of semantics and syntax. Demonstrates that the conceptual model of Ranganathan based on canons, postulates and pronciples contains the principles expressed by other scholars in the field of information retrieval. Implements Ranganathan's conceptual models in information retrieval tools, using PRECIS as an example. Concludes the Ranganathan models contain all the germinal ideas to meet the challenges of modern technology

Source

International information communication and education. 16(1997) no.1, S.14-30

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Abstract

Discusses the importance of the theories and principles of linguistics to the organization of information. Infolinguistics studies information or knowledge using linguistics as a representation mechanism. Theoretical studies of search languages and index languages require a theoretical framework provided by the interdisciplinary approach of infolinguistics which is a blend of cognitive psychology, linguistics and information science. Discusses how infolinguistics can contribute to information retrieval using both computer and manual application of grammatical theories

Source

Library science with a slant to documentation and information studies. 32(1995) no.3, S.113-121

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Abstract

An important aspect of information retrieval systems is domain independence, where the subject of the information is not restricted to certain domains of knowledge. This should be able to represent any topic and although the text representation does not involve any semantic knowledge, lexical and syntactic analysis of the text allows the representation to remain domain independent. Reports research at Dublin City University, Ireland, which concentrates on the lexical and syntactic levels of natural language analysis and describes a domain independent automatic information retrieval system which accesses a very large database of newspaper text from the Wall Street Journal. The system represents the text in the form of syntax trees, and these trees are used in the matching process. Reports early results from the stuyd

Source

Information retrieval: new systems and current research. Proceedings of the 16th Research Colloquium of the British Computer Society Information Retrieval Specialist Group, Drymen, Scotland, 22-23 Mar 94. Ed.: R. Leon

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Imprint

Darmstadt : Fachhochschule, Fachbereich Information und Dokumentation

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Source

International forum on information and documentation. 18(1993) no.2, S.3-8

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Footnote

Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willett. San Francisco: Morgan Kaufmann 1997. S.538-552.

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