ERNEST: a semantic network system for pattern understanding

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...

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Veröffentlicht in:IEEE transactions on pattern analysis and machine intelligence 1990-09, Vol.12 (9), p.883-905
Hauptverfasser: Niemann, H., Sagerer, G.F., Schroder, S., Kummert, F.
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container_title IEEE transactions on pattern analysis and machine intelligence
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creator Niemann, H.
Sagerer, G.F.
Schroder, S.
Kummert, F.
description 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.< >
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subjects Application software
Applied sciences
Artificial intelligence
Assembly
Computer science
control theory
systems
Control systems
Employment
Exact sciences and technology
Image segmentation
Image sensors
Pattern recognition. Digital image processing. Computational geometry
Sensor arrays
Sensor phenomena and characterization
Signal processing
Speech processing
title ERNEST: a semantic network system for pattern understanding
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