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Extended Database Logic: Complex Objects and Deduction.

dc.contributor.authorGrant, Johnen_US
dc.contributor.authorSellis, T.K.en_US
dc.date.accessioned2007-05-23T09:39:17Z
dc.date.available2007-05-23T09:39:17Z
dc.date.issued1987en_US
dc.identifier.urihttp://hdl.handle.net/1903/4684
dc.description.abstractDatabase Logic was proposed in the late 1970's as a generalization of first-order logic in order to deal in a uniform manner with relational, hierarchic, and network databases. At about the same time, the study of deductive (relational) databases has become important, primarily as a vehicle for the development of expert database systems. Also, Prolog, the main logic programming language, has become prominent for many applications in artificial intelligence, and its connections with deductive databases have been investigated. Although the relational model provides a suitable framework for traditional, essentially data processing applications, several researchers have found the need for complex objects in newer applications, such as engineering databases. In this paper we show how database logic can be extended in two directions: 1) to include complex objects, and 2) to provide deductive capabilities for hierarchic and network databases.en_US
dc.format.extent1066306 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.relation.ispartofseriesISR; TR 1987-179en_US
dc.titleExtended Database Logic: Complex Objects and Deduction.en_US
dc.typeTechnical Reporten_US
dc.contributor.departmentISRen_US


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