Semantic Networks and Associative Databases: Two Approaches to Knowledge Representation and Reasoning

Publication Type

Journal Article

Publication Date

8-1992

Abstract

Two models, one originating from an artificial-intelligence paradigm and the other from database research, that incorporate connectionist techniques into their knowledge representation and reasoning processes are described. The first approach, called evidential reasoning, is based on semantic networks and focuses on solving inheritance and recognition queries using a rich internal structure. The second approach, called the associative relational database, provides a query language to manipulate knowledge stored in simple uniform structures. In addition to solving ordinary information retrieval, associative databases support robust retrieval with imprecise queries, which is impossible in traditional databases. The two modeling techniques are compared.

Discipline

Databases and Information Systems | Numerical Analysis and Scientific Computing

Research Areas

Data Science and Engineering

Publication

IEEE Expert

Volume

7

Issue

4

First Page

31

Last Page

40

ISSN

0885-9000

Identifier

10.1109/64.153462

Publisher

IEEE

Additional URL

https://doi.org/10.1109/64.153462

Link to Full Text

Share

COinS