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Information Processing and… | 5 |
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Blair, David C. | 1 |
Dolby, James L. | 1 |
Kraft, Donald H. | 1 |
Mazur, Zygmunt | 1 |
Radecki, Tadeusz | 1 |
Waller, W. G. | 1 |
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Reports - Research | 4 |
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Dolby, James L. – Information Processing and Management, 1984
Suggests structure based on two sets of principles for deriving meaning from data: Shannon's measure of entropy, which provides means of measuring amount of information in message; and Ranganathan's faceted classification scheme, which provides means of determining number of meaningful data. Syntax, meaning, and semantics of data are discussed.…
Descriptors: Classification, Communication (Thought Transfer), Data, Data Analysis

Mazur, Zygmunt – Information Processing and Management, 1979
Examines through a series of mathematical models (theorems, descriptions, and examples), properties and operations on inverted files, which are used in an information retrieval system based on thesaurus with weighted descriptors. (CWM)
Descriptors: Algorithms, Indexes, Information Processing, Information Retrieval

Waller, W. G.; Kraft, Donald H. – Information Processing and Management, 1979
Analyzes the use of weights to denote a query representation and/or the indexing of a document as a generalization of a Boolean retrieval system. Criteria are given for the functions used to evaluate the relevance of the records to a specific query and a new evaluation approach is suggested. (CWM)
Descriptors: Algorithms, Evaluation Criteria, Information Processing, Information Retrieval

Radecki, Tadeusz – Information Processing and Management, 1979
Presents a new method of document retrieval based on the fundamental operations of fuzzy set theory. Basic notions are introduced. Then the syntax and semantics of the proposed language for document retrieval is given, and an algorithm allocating documents to particular queries is described and its properties are discussed. (Author/CWM)
Descriptors: Algorithms, Information Processing, Information Retrieval, Information Storage

Blair, David C. – Information Processing and Management, 1988
Presents a relational logical model to support a sophisticated document retrieval system in which flexible forms of inferential and associative searching can be performed, and provides examples of ad hoc inquiries. Several problems of particular importance to document retrieval are discussed in terms of this model. (27 references) (Author/CLB)
Descriptors: Database Management Systems, Information Processing, Information Retrieval, Mathematical Models