-
Popper, K.R.: Three worlds : the Tanner lecture on human values. Deliverd at the University of Michigan, April 7, 1978 (1978)
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- Source
- https%3A%2F%2Ftannerlectures.utah.edu%2F_documents%2Fa-to-z%2Fp%2Fpopper80.pdf&usg=AOvVaw3f4QRTEH-OEBmoYr2J_c7H
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Axelos, C.; Flasch, K.; Schepers, H.; Kuhlen, R.; Romberg, R.; Zimmermann, R.: Allgemeines/Besonderes (1971-2007)
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- Footnote
- DOI: 10.24894/HWPh.5033. Vgl. unter: https://www.schwabeonline.ch/schwabe-xaveropp/elibrary/start.xav#__elibrary__%2F%2F*%5B%40attr_id%3D%27verw.allgemeinesbesonderes%27%5D__1515856414979.
-
Historisches Wörterbuch der Philosophie (1971-2007)
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- Footnote
- Online unter: https://hwph.ch/ bzw. https://www.schwabeonline.ch/schwabe-xaveropp/elibrary/start.xav#__elibrary__%2F%2F*%5B%40attr_id%3D%27hwph_productpage%27%5D__1515856966402.
-
Robertson, S.E.: ¬The probability ranking principle in IR (1977)
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- Footnote
- Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willet. San Francisco: Morgan Kaufmann 1997. S.281-286.
-
Lancaster, F.W.: Information retrieval systems : characteristics, testing and evaluation (1979)
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- Footnote
- 1st ed.: 1968; 3rd ed. u.d.T.: Information retrieval today (gemeinsam mit A.J. Warner)
-
Cleverdon, C.W.: Evaluation tests of information retrieval systems (1970)
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-
Cooper, W.S.: ¬The paradoxal role of unexamined documents in the evaluation of retrieval effectiveness (1976)
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- Source
- Information processing and management. 12(1976), S.367-375
-
Artandi, S.: Document retrieval and the concept of sets (1971)
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- Source
- Journal of the American Society for Information Science. 22(1971) no.4, S.289-290
-
Pollitt, A.S.: Information storage and retrieval systems : origin, development and applications (1979)
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- Content
- Enthält folgende Kapitel: (1) Recording knowledge; (2) Classifying and indexing; (3) Searching; (4) Building and searching a database; (5) Front-end systems; (6) From viewdata to hypermedia; (7) Evaluation
-
Sager, W.K.H.; Lockemann, P.C.: Classification of ranking algorithms (1976)
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- Abstract
- The retireval of documents by content is based on identifiers that are seldom unique to a document. Therefore, a query is usually answered by a number of documents that may, however, differ in relevance to the query. Ranking algorithms attempt to assess these relevances by calculating a relevance measure, and order the documents on the basis of the measure. Surveys the algorithms found in the literature for the weighting of index terms and the calculation of relevance measures, classifies them according to various criteria, and compares a number of them empirically. Methods are discussed for further classification of the algorithms on the basis of similarity of behaviour. These are demonstrated for a data base of 1.003 legal documents. It is shown that one may considerably improve the quality of ranking by combining algorithms from different classes
- Source
- International forum on information and documentation. 1(1976) no.4, S.12-25
-
Fugmann, R.: On the role of subjectivity in establishing, using, operating and evaluating information retrieval systems : treatise 2 on information retrieval theory (1973)
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- Source
- Information storage and retrieval. 9(1973), S.353-372
-
Gilchrist, A.: ¬The thesaurus in retrieval (1971)
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- LCSH
- Information retrieval
- RSWK
- Schlagwortnormdatei / Information Retrieval
- Subject
- Schlagwortnormdatei / Information Retrieval
Information retrieval
- Theme
- Verbale Doksprachen im Online-Retrieval
-
Stokolova, N.A.: Syntactic tools and semantic power of information languages : Pt.2 of 'Elements of a semantic theory of information retrieval' (1976)
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- Abstract
- Different kinds of syntactic tools of information languages (IL) in use, considered as meaning-distinguished tools, are described as simplified forms of some initial IL grammar tools called 'standard phrases' which are n-place relational predicates of a special kind. A quantitative evaluation is attempted of the effects which the idiosyncracies of the syntactic tools of IL's have on their semantic power
-
Cooper, W.S.: ¬A definition for relevance in information retrieval (1971)
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- Source
- Information storage and retrieval. 7(1971), S.19-37
-
Fugmann, R.: ¬The theoretical foundation of the IDC-system : 6 postulates for information retrieval; treatise 1 on information retrieval theory (1972)
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-
Turski, W.M.: On a model of information retrieval system based on thesaurus (1971)
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- Source
- Information storage and retrieval. 7(1971) no.2, S.89-94
-
Jardine, N.; Rijsbergen, C.J. van: ¬The use of hierarchic clustering in information retrieval (1971)
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- Source
- Information storage and retrieval. 7(1971), S.217-240
-
Sparck Jones, K.; Jackson, D.M.: ¬The use of automatically obtained keyword classification for information retrieval (1970)
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- Source
- Information storage and retrieval. 5(1970), S.175-201
-
Schabas, A.H.: ¬A comparative evaluation of the retrieval effectiveness of titles, Library of Congress Subject Headings and PRECIS strings for computer searching of UK MARC data (1979)
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- Theme
- Verbale Doksprachen im Online-Retrieval
-
Sparck Jones, K.: Some thoughts on classification for retrieval (1970)
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- Abstract
- The suggestion that classifications for retrieval should be constructed automatically raises some serious problems concerning the sorts of classification which are required, and the way in which formal classification theories should be exploited, given that a retrieval classification is required for a purpose. These difficulties have not been sufficiently considered, and the paper therefore attempts an analysis of them, though no solution of immediate application can be suggested. Starting with the illustrative proposition that a polythetic, multiple, unordered classification is required in automatic thesaurus construction, this is considered in the context of classification in general, where eight sorts of classification can be distinguished, each covering a range of class definitions and class-finding algorithms. The problem which follows is that since there is generally no natural or best classification of a set of objects as such, the evaluation of alternative classifications requires either formal criteria of goodness of fit, or, if a classification is required for a purpose, a precises statement of that purpose. In any case a substantive theory of classification is needed, which does not exist; and since sufficiently precise specifications of retrieval requirements are also lacking, the only currently available approach to automatic classification experiments for information retrieval is to do enough of them
- Theme
- Klassifikationssysteme im Online-Retrieval
