-
Mooers, C.: ¬The indexing language of an information retrieval system (1963)
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- Source
- Information retrieval today: papers presented at an Institute conducted by the Library School and the Cetre for Continuation Study, University of Minnesota, Sept. 19-22, 1962. Ed. by. Wesley Simonton
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Goffman, W.; Newill, V.A.: ¬A methodology for test and evaluation of information retrieval systems (1966/67)
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- Source
- Information storage and retrieval. 3(1966/67), S.19-26
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Cooper, W.S.: Expected search length : a single measure of retrieval effectiveness based on the weak ordering action of retrieval systems (1968)
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Blagden, J.F.: How much noise in a role-free and link-free co-ordinate indexing system? (1966)
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- Abstract
- A study of the number of irrelevant documents retrieved in a co-ordinate indexing system that does not employ eitherr roles or links. These tests were based on one hundred actual inquiries received in the library and therefore an evaluation of recall efficiency is not included. Over half the enquiries produced no noise, but the mean average percentage niose figure was approximately 33 per cent based on a total average retireval figure of eighteen documents per search. Details of the size of the indexed collection, methods of indexing, and an analysis of the reasons for the retrieval of irrelevant documents are discussed, thereby providing information officers who are thinking of installing such a system with some evidence on which to base a decision as to whether or not to utilize these devices
- Source
- Journal of documentation. 22(1966), S.203-209
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Farradane, J.E.L.: ¬The challenge of information retrieval (1961)
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-
Vickery, B.C.: Bibliographic description, arrangement and retrieval (1968)
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-
Swets, J.A.: Information retrieval systems (1963)
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Swets, J.A.: Effectiveness of information retrieval systems (1969)
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Farradane, J.: Concept organization for information retrieval (1967)
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- Source
- Information storage and retrieval. 3(1967) S.297-314
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Luhn, H.P.: ¬The automatic derivation of information retrieval encodements from machine-readable texts (1961)
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- Footnote
- Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willett. San Francisco: Morgan Kaufmann 1997. S.21-24.
- Source
- Information retrieval and machine translation. Vol.3. Pt.2. Ed. A. Kent
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Swanson, D.R.: Searching natural language by computer (1960)
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- Footnote
- Ein Klassiker der Beiträge zum Information Retrieval
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Armitage, J.E.; Lynch, M.F.: Some structural characteristics of articulated subject indexes (1968)
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- Source
- Information storage and retrieval. 4(1968) no.2, S.101-111
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Collins, A.M.; Quillian, M.R.: Retrieval time from semantic memory (1969)
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-
Brookes, B.C.: ¬The measure of information retrieval effectiveness proposed by Swets (1968)
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-
Borko, H.: Determining user requirements for an information storage and retrieval system : a systems approach (1962)
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-
Stiles, H.E.: ¬The association factor in information retrieval (1961)
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-
Treu, S.: ¬The browser's retrieval game (1968)
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-
Highhum, C.D.: Cataloging for document retrieval at Florida Atlantic University (1964)
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Berul, L.H.: Document retrieval (1969)
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-
Austin, D.: Prospects for a new general classification (1969)
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- Abstract
- In traditional classification schemes, the universe of knowledge is brokeii down into self- contained disciplines which are further analysed to the point at which a particular concept is located. This leads to problems of: (a) currency: keeping the scheme in line with new discoveries. (b) hospitality: allowing room for insertion of new subjects (c) cross-classification: a concept may be considered in such a way that it fits as logically into one discipline as another. Machine retrieval is also hampered by the fact that any individual concept is notated differently, depending on where in the scheme it appears. The approach now considered is from an organized universe of concepts, every concept being set down only once in an appropriate vocabulary, where it acquires the notation which identifies it wherever it is used. It has been found that all the concepts present in any compound subject can be handled as though they belong to one of two basic concept types, being either Entities or Attributes. In classing, these concepts are identified, and notation is selected from appropriate schedules. Subjects are then built according to formal rules, the final class number incorporating operators which convey the fundamental relationships between concepts. From this viewpoint, the Rules and Operators of the proposed system can be seen as the grammar of an IR language, and the schedules of Entities and Attributes as its vocabulary.
- Date
- 10.10.2014 18:17:29
