Descriptor
Source
Information Processing and… | 5 |
Author
And Others. | 1 |
Kraft, Donald H. | 1 |
Mazur, Zygmunt | 1 |
Neville, H. H. | 1 |
Nisenoff, Norman | 1 |
Radecki, Tadeusz | 1 |
Waller, W. G. | 1 |
Publication Type
Journal Articles | 5 |
Reports - Research | 4 |
Reports - Descriptive | 1 |
Education Level
Audience
Location
Sweden | 1 |
United States | 1 |
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Neville, H. H. – Information Processing and Management, 1981
Describes an online library catalog in which bibliographic references have been compiled by simply transcribing the descriptive data found on the title page and elsewhere on the documents, and discusses the wider implications of the use of natural language descriptions without modifications. Eleven references are listed. (FM)
Descriptors: Bibliographies, Databases, Information Processing, Information Retrieval

Nisenoff, Norman; And Others. – Information Processing and Management, 1979
Considers the implications of possible policy initiatives in the United States in light of Swedish experience in dealing with the privacy of computerized records. (CWM)
Descriptors: Case Studies, Confidential Records, Confidentiality, Federal Regulation

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