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Buell, Duncan A.; Kraft, Donald H. – Information Processing and Management, 1981
Analyzes recent developments in the problem of processing queries expressed as Boolean expressions, shows that the concept of threshold values resolves the problems inherent with relevance weights, and explores possible evaluation mechanisms for document retrieval based on fuzzy set theory. Sixteen references are listed. (FM)
Descriptors: Bibliographies, Information Processing, Information Retrieval, Online Systems
Peer reviewed Peer reviewed
Kar, Gautam; White, Lee J. – Information Processing and Management, 1978
Investigates the feasibility of using a distance measure for automatic sequential document classification. This property of the distance measure is used to design a sequential classification algorithm which classifies key words and analyzes them separately in order to assign primary and secondary classes to a document. (VT)
Descriptors: Algorithms, Automatic Indexing, Classification, Information Processing
Peer reviewed Peer reviewed
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
Peer reviewed Peer reviewed
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
Peer reviewed Peer reviewed
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
Peer reviewed Peer reviewed
Colby, Latha S.; And Others – Information Processing and Management, 1994
Presents the list-structure data model for dealing with sets of objects, which has ordering as its fundamental principle. An extended notion of patterns and several operators of the algebra are presented. Design issues that influenced the development of the language are described. (Contains 30 references.) (KRN)
Descriptors: Algebra, Databases, Information Processing, Information Retrieval
Peer reviewed Peer reviewed
Barnes, C. I.; And Others – Information Processing and Management, 1978
Outlines the concepts and facilities of SLC-II, a basic support for R&D in automatic documentation and language translation, and gives a detailed description of its use in automatic indexing. The design and running of a full-scale pilot project is described, with a parallel experiment in the effectiveness of "thesaurus enrichment" by semiautomatic…
Descriptors: Automatic Indexing, Comparative Analysis, Indexing, Information Processing
Peer reviewed Peer reviewed
Cross, George R.; deBessonet, Cary G. – Information Processing and Management, 1985
Describes traditional legal information retrieval systems--Juris, Lexis, Westlaw--and several new rule-based, knowledge-based, legal knowledge reasoning, and analytical legal information systems--Waterman and Peterson's Legal Decisionmaking System, Hafner's Legal Information Retrieval System, McCarty's TAXMAN, and the deBessonet representation of…
Descriptors: Artificial Intelligence, Design, Development, Information Processing
Peer reviewed Peer reviewed
Maeda, Takashi; And Others – Information Processing and Management, 1980
Describes an automatic method, based upon a text structure analysis and using a relatively small dictionary, to extract significant phrases from the title and the abstract of scientific and technical documents. The information representation of the document is discussed with relation to the construction of the document information retrieval…
Descriptors: Abstracts, Automatic Indexing, Content Analysis, Information Processing
Peer reviewed Peer reviewed
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
Peer reviewed Peer reviewed
Bookstein, Abraham; Klein, Shmuel T. – Information Processing and Management, 1992
Presents new methods for compressing bit matrices in large information retrieval systems which exploit possible correlations between rows of words and columns of documents. Three encoding methods are tested and compared--Shannon-Fano, arithmetic, and Huffman--and an appendix discusses binomial coefficients. (20 references) (LRW)
Descriptors: Coding, Comparative Analysis, Correlation, Information Processing
Peer reviewed Peer reviewed
Hart, Paul J.; Rice, Ronald E. – Information Processing and Management, 1991
Applies theories about organizational information processing to better understand the influences on method of access and on effects of using online information. Explores the extent to which organizational differences also influence these variables, what the positive and negative outcomes from using online commercial databases are, and how those…
Descriptors: Access to Information, Databases, Information Processing, Information Retrieval
Peer reviewed Peer reviewed
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