ERNEST: a semantic network system for pattern understanding

Author

Niemann, Heinrich ; Sagerer, Gerhard F. ; Schröder, Stefan ; Kummert, Franz

Author_Institution

Lehrstuhl fuer Inf., Frederich-Alexander Univ. Erlangen-Nurnberg, Erlangen, West Germany

Volume

12

Issue

9

fYear

1990

fDate

9/1/1990 12:00:00 AM

Firstpage

883

Lastpage

905

Abstract

The authors give a detailed account of a system environment for treating general problems of image and speech understanding. A framework for representing declarative and procedural knowledge based on a suitable definition of a semantic network is provided. The syntax and semantics of the network are clearly defined. The pragmatics of the network in its use for pattern understanding are defined by several rules which are problem-independent. This allows one to formulate problem-independent control algorithms. Complete software environments are available to handle the described structures. The general applicability of the network system is demonstrated by short descriptions of three applications from different task domains

Keywords

computerised pattern recognition; knowledge based systems; knowledge representation; speech recognition; image understanding; pattern understanding; problem-independent control algorithms; semantic network system; speech understanding; syntax; Application software; Assembly; Control systems; Employment; Image segmentation; Image sensors; Sensor arrays; Sensor phenomena and characterization; Signal processing; Speech processing;

fLanguage

English

Journal_Title

Pattern Analysis and Machine Intelligence, IEEE Transactions on

Publisher

ieee

ISSN

0162-8828

Type

jour

DOI

10.1109/34.57683

Filename

57683