-
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
-
Borko, H.: Determining user requirements for an information storage and retrieval system : a systems approach (1962)
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- Source
- Information systems workshop
-
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
-
Balay, R.; Gardner, J.: ¬An inexpensive information retrieval system using coordination of terms with edgenotched cards (1966)
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-
Paisley, W.J.; Parker, E.B.: Information retrieval as a receiver-controlled communication system (1965)
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- Source
- Proceedings of the Symposium on Eudcation for Information Science, Warrenton, VA, Sept. 7-10, 1965. Ed.: L.B. Heilprin et al
-
Doyle, L.B.: Indexing and abstracting by association : Part 1 (1962)
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- Footnote
- Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willett. San Francisco: Morgan Kaufmann 1997. S.25-38
- Imprint
- Santa Monica, CA : System Development Corporation
-
Goffman, W.: ¬A searching procedure for information retrieval (1964)
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- Abstract
- A search procedure for an information retrieval system is developed whereby the answer to a question is obtained by maximizing an evaluation function of the system's output in terms of the probility of relevance. Necessary and sufficient conditions are given for a set to be an answer to a query. A partition of the file is made in such way that all documents belonging to the answer are members of the same class. Hence the answer can be generated by one relevant document. In this manner a search of the total file is avoided
- Source
- Information storage and retrieval. 2(1964), S.73-78
-
International Symposium on Relational Factors in Classification, Univ. of Maryland, 8.-11.6.1966. Proceedings (1967)
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- Content
- Enthält die Beiträge: PERREAULT, J.M. On the articulation of surrogates: an attempt at an epistemological foundation; RICHMOND, P.A.: Critique; CECCATO, S.: Concepts for a new systematics; BREGZIS, R., D.E. WALKER: Critique; SOERGEL, D.: Some remarks on information languages, their analysis and comparison; ATHERTON, P., FAIRTHORNE, R.A.: Critique; FARRADANE, J.: Concept organization for information retrieval; ATHERTON, P., H. BORKO: Critique; LÉVY, F.: On the relative nature of relational factors in classifications; RICHMOND, P.A., H. BORKO: Critique; NEWMAN, S.M.: An operative information retrieval system based on relational factors; LANCASTER, F.W., D.E. WALKER: Critique; PAGèS, R.: Relational aspects of conceptualization in message analysis; WILLIAMS, T.M., R. BREGZIS: Critique; DALE, A.G.: Indexing and classification for interactive retrieval systems; WILLIAMS, T.M., F.W. LANCASTER: Critique; GROLIER, E. de: Synoptic critique; RANGANATHAN, S.R.: Hidden roots of classification
- Source
- Information storage and retrieval. 3(1967), no.4
-
Lesk, M.E.; Salton, G.: Relevance assements and retrieval system evaluation (1969)
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- Abstract
- Two widerly used criteria for evaluating the effectiveness of information retrieval systems are, respectively, the recall and the precision. Since the determiniation of these measures is dependent on a distinction between documents which are relevant to a given query and documents which are not relevant to that query, it has sometimes been claimed that an accurate, generally valid evaluation cannot be based on recall and precision measure. A study was made to determine the effect of variations in relevance assesments do not produce significant variations in average recall and precision. It thus appears that properly computed recall and precision data may represent effectiveness indicators which are gemerally valid for many distinct user classes.
- Source
- Information storage and retrieval. 4(1969), S.343-359
-
Melton, J.S.: ¬A use for the techniques of structural linguistics in documentation research (1965)
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- Abstract
- Index language (the system of symbols for representing subject content after analysis) is considered as a separate component and a variable in an information retrieval system. It is suggested that for purposes of testing, comparing and evaluating index language, the techniques of structural linguistics may provide a descriptive methodology by which all such languages (hierarchical and faceted classification, analytico-synthetic indexing, traditional subject indexing, indexes and classifications based on automatic text analysis, etc.) could be described in term of a linguistic model, and compared on a common basis
-
Maron, M.E.; Kuhns, I.L.: On relevance, probabilistic indexing and information retrieval (1960)
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- Abstract
- Reports on a novel technique for literature indexing and searching in a mechanized library system. The notion of relevance is taken as the key concept in the theory of information retrieval and a comparative concept of relevance is explicated in terms of the theory of probability. The resulting technique called 'Probabilistic indexing' allows a computing machine, given a request for information, to make a statistical inference and derive a number (called the 'relevance number') for each document, which is a measure of the probability that the document will satisfy the given request. The result of a search is an ordered list of those documents which satisfy the request ranked according to their probable relevance. The paper goes on to show that whereas in a conventional library system the cross-referencing ('see' and 'see also') is based soley on the 'semantic closeness' between index terms, statistical measures of closeness between index terms can be defined and computed. Thus, given an arbitrary request consisting of one (or many) index term(s), a machine can eleborate on it to increase the probability of selecting relevant documents that would not otherwise have been selected. Finally, the paper suggest an interpretation of the whole library problem as one where the request is considered as a clue on the basis of which the library system makes a concatenated statistical inference in order to provide as an output an ordered list of those documents which most probably satisfy the information needs of the user
- Footnote
- Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willett. San Francisco: Morgan Kaufmann 1997. S.39-46.
-
Sharp, J.R.: Some fundamentals of information retrieval (1965)
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-
Good, I.J.: ¬The decision-theory approach to the evaluation of information-retrieval systems (1967)
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- Abstract
- It is argued that the evaluation of information-retrieval systems should ultimately be based on the principle of rationality, the maximization of expected utility. In full generality this would involve an estimation of both the cost and value of a system, but the emphasis in this paper is on the problem of value, in terms of which the effiency of the system could be defined. One implication of the discussion is that it is not legitimate to superimpose the 2x2 contingency tables that refer to select/discarded and relevant/irrelevant, correspondending to each request,but it might be all right to superimpose them after applying a monotonic function to the entries. In particular, it is questionable whether a useful statistic is the ratio of the total number of relevant selected documents to the total number of relevant ones, over a sample of requests.
- Source
- Information storage review. 3(1967), S.31-34
-
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
-
Soergel, D.: Mathematical analysis of documentation systems : an attempt to a theory of classification and search request formulation (1967)
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- Abstract
- As an attempt to make a general structural theory of information retrieval, a documentation system (DS) is defined as a formal system consisting of (a) a set o of objects (documents); (b) a set A++ of elementary attributes (key-words), from which further attributes may be constructed: A++ generates A; (c) a set of axioms of the form X++(x)=m (m¯M, M a set of constant connecting attributes with objects: from the axioms further theorems (=true statements) may be constructed. By use of the theorems, different mappings O -> P(o) (P(o) set of all subsets of o) (search question -> set of documents retrieved) are defined. The type of a DS depends on two basic decisions: (1) choice of the rules for the construction of attributes and theorems, e.g., logical product in coordinate indexing; links. (2) choice of M; M may consist of the two constants 'applicable' and 'not applicable', or some positive integers, ...; Further practical decisions: A++ hierarchical or not; kind of mapping; introduction of roles (=further attributes). The most simple case - ordinary two-valued Coordinate Indexing - is discusssed in detail; o is a free distributive (but not Boolean) lattice, the homographic image a ring of subsets of o; instead of negation which is not useful, a useful retrieval operation 'praeternagation' is introduced. Furthermore these are discussed: a generalized definition of superimposed coding, some functions for the distance of objects or attributes; optimization and automatic derivation of classifications. The model takes into account term-term relations and document-document relations. It may serve as a structural framework in terms of which the functional problems of retrieval theory may be expressed more clearly
- Source
- Information storage and retrieval. 3(1967), S.129-173
-
Proceedings of first seminar on UDC in a mechanized retrieval system, conducted by R.R. Freeman u. P. Atherton, Copenhagen, 2.-6.9.1968 (1969)
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-
Farradane, J.E.L.: ¬The challenge of information retrieval (1961)
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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
