A Relational Model of Data for Large Shared Data Banks
Schlagworte:
data bases, derivability, data banks, AI, Artificial Intelligence, Machine Intelligence, computer, data integrityAbstract
SAMPLE article. Existing noninferential, formatted data systems provide users with tree-structured files or slightly more general network models of the data. In Section 1, inadequacies of these models are discussed. A model based on n-ary relations, a normal form for data base relations, and the concept of a universal data sublanguage are introduced. In Section 2, certain operations on relations (other than logical inference) are discussed and applied to the problems of redundancy and consistency in the user’s model.
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2020-12-03
Zitationsvorschlag
von Ärbach, Jörg, Lars Thørväld, und Donald Fauntleroy Duck. 2020. „A Relational Model of Data for Large Shared Data Banks“. Demo Journal AI 1 (2):1-3. https://doi.org/10.1237/djai.v1i2.23.
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