Name
Abstract | ||
|---|---|---|
This paper examines some of the problems and issues involved in designing a practical deductive inference processor to augment a data management system, as well as some of the benefits that can be expected from such an augmentation. A deductive processor design is presented that incorporates new techniques for selecting, from large collections of mostly irrelevant general assertions and specific facts, the small number needed for deriving an answer to a particular query. |
Year | Venue | Keywords |
|---|---|---|
1976 | VLDB | deductive processor design,data management system,deductive capability,specific fact,data management,large collection,small number,particular query,new technique,irrelevant general assertion,practical deductive inference processor,information retrieval,compilers,data bases,systems analysis,information processing,augmentation,machine translation |
Field | DocType | ISBN |
Data mining,Information processing,Computer science,Inference,Machine translation,Systems analysis,Compiler,Processor design,Data management,Database | Conference | 0-7204-0546-7 |
Citations | PageRank | References |
14 | 92.05 | 10 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Charles Kellogg | 1 | 128 | 229.30 |
| Philip Klahr | 2 | 114 | 158.78 |
| Larry Travis | 3 | 79 | 170.45 |