An Experimental Relational Data Base System Based on Logic
An experimental relational data base system whose design is based upon logic is described. Logic was chosen as the design principle since it is a useful way in which to represent knowledge, and it forms a mathematical basis both for reasoning with data and for maintaining the integrity of a data base. The latter is a needed capability of data base systems as one wants to derive new facts from facts listed explicitly in the data base.
The system is designed to handle large data bases and for general problems in theorem proving. The data base aspect of the work is emphasized in this paper.
Queries to the system consist of well-formed formulae in the predicate calculus. Knowledge in the system is stored in a semantic network. The semantic network consists of explicit facts stored in the extensional data base; general axioms, which permit new facts to be derived, and are stored in the intensional data base, the semantic graph which provides information sometimes represented as unary relations; the dictionary which defines constant symbols; and the semantic form space used for integrity constraints and testing inputs.
A description is provided of the system. The manner in which the extensional and intensional data bases are accessed, how deductive search is controlled, and the manner in which written and spoken natural language output is achieved are described in the paper.
KeywordsSemantic Category Base Relation Semantic Network Horn Clause Semantic Action
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