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Shen, Sheldon – Information Processing and Management, 1988
Describes a model for a front end query processor to deal with incomplete information in a database. The effectiveness of the processor in restricting the number of objects to be processed in a query and in aiding the interpretation of a query is discussed. (26 references) (Author/CLB)
Descriptors: Algorithms, Computational Linguistics, Databases, Mathematical Formulas
Peer reviewed Peer reviewed
Humphrey, Susanne M. – Information Processing and Management, 1989
Describes a prototype system for interactive knowledge-based indexing of the medical literature. Topics covered include current indexing practice; knowledge-based systems using frames; various types of assistance provided by the prototype system; and current research activities and plans for the development of the system. (17 references) (CLB)
Descriptors: Algorithms, Automatic Indexing, Expert Systems, Information Retrieval
Peer reviewed Peer reviewed
Sechser, Otto – Information Processing and Management, 1982
Analyzes the formal properties, structural consequences, similarities, and differences of link indicators, brackets, and cohesion separators in the query languages employed in information retrieval. Eleven figures, a 32-item reference list, and appendices on Extended Backus Notation and the formal definition of the Formal Relevance Language are…
Descriptors: Algorithms, Indexes, Information Retrieval, Online Systems
Peer reviewed Peer reviewed
Spiegler, Israel; Elata, Smadar – Information Processing and Management, 1988
Presents a model for the a priori analysis of natural language queries which uses an algorithm to transform the query into a logical pattern that is used to determine the answerability of the query. The results of testing by a prototype system implemented in PROLOG are discussed. (20 references) (CLB)
Descriptors: Algorithms, Computational Linguistics, Databases, Information Retrieval
Peer reviewed Peer reviewed
Gay, L. S.; Croft, W. B. – Information Processing and Management, 1990
Discusses the interpretation of nominal compounds in the context of natural language processing for information retrieval. Knowledge-intensive algorithms that can successfully interpret compounds found in technical documents are described, and experiments are reported that indicate these algorithms may be unnecessary for improving retrieval…
Descriptors: Algorithms, Computer Software, Information Retrieval, Morphology (Languages)