Default reasoning and inheritance mechanisms on type hierarchies

Authors:
Jaime G. Carbonell
Affiliations:
Computer Science Department, Carnegie-Mellon University, Pittsburgh, PA
Venue:
Proceedings of the 1980 workshop on Data abstraction, databases and conceptual modeling
Year:
1980

Citing 0
Cited 4

Three principles of representation for semantic networks

ACM Transactions on Database Systems (TODS)
Type hierarchies and Semantic Data Models

Proceedings of the 1983 ACM SIGPLAN symposium on Programming language issues in software systems
A requirement model for the 5th generation

ACM '84 Proceedings of the 1984 annual conference of the ACM on The fifth generation challenge
Rule/based statistical calculations on a "Database abstract"

SSDBM'81 Proceedings of the 1st LBL Workshop on Statistical database management

Quantified Score

Hi-index	0.00

Visualization

Abstract

Type hierarchies abound in Artificial Intelligence, Data Bases and Programming Languages. Although their size, use and complexity differs, all share a central inference mechanism: Inheritance of information, their raison d'etre. This paper discusses various types of type hierarchies and inheritance mechanisms, concluding with a proposed generalized inheritance mapping approach to resolve issues of lateral and upward inheritance (to augment the traditional downward approach), as well as default reasoning and limited non-monotonic inference.