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Ide, Nancy; And Others – Information Processing and Management, 1993
Reports on a project showing that relational data models, including unnormalized models that allow the nesting of relations, cannot fully capture the structural properties of lexical information. A feature-based model that allows for a full representation of some nesting and defines a factoring mechanism is described and demonstrated. (38…
Descriptors: Computational Linguistics, Database Management Systems, Dictionaries, Lexicography

Rindflesch, Thomas C. – Annual Review of Applied Linguistics, 1996
Examines recent trends in research in natural language processing and discusses some applications of this research to the solution of information management problems. The article emphasizes that the importance of natural language processing systems is reflected in their frequent use in support of other computer programs. (71 references) (CK)
Descriptors: Computational Linguistics, Database Management Systems, Dictionaries, Discourse Analysis
Fong, Elizabeth N.; And Others – 1985
This report discusses an iterative methodology for logical database design (LDD). The methodology includes four phases: local information-flow modeling, global information-flow modeling, conceptual schema design, and external schema modeling. These phases are intended to make maximum use of available information and user expertise, including the…
Descriptors: Data Collection, Database Management Systems, Databases, Dictionaries

Silvester, June P.; And Others – Information Processing and Management, 1994
Describes the National Aeronautics and Space Administration (NASA) Lexical Dictionary (NLD), a machine-aided indexing system used online at the NASA Center for AeroSpace Information (CASI). The functions of NLD system components are described in detail, and production and quality benefits resulting from machine-aided indexing at CASI are…
Descriptors: Automatic Indexing, Database Management Systems, Dictionaries, Evaluation
Hoover, Ronald G. – CAUSE/EFFECT, 1990
Data management challenges at the Pennsylvania State University are discussed, including providing user access to data, developing a classification system for data elements, eliminating the manual process for creating tailored user views, and developing data dictionary user enhancements. Solutions are provided to give insight into problem solving.…
Descriptors: Access to Information, Case Studies, Classification, Database Management Systems