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Journal of computing and information technology, Vol. 2 No. 3, 1994.

Original scientific paper

HETHI - Heterogeneous Hierarchical Knowledge Base

Slobodan Ribarić ; Faculty of Electrical Engineering, University of Zagreb, Croatia
Berislav Lastrić ; Faculty of Electrical Engineering, University of Zagreb, Croatia

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page 167-179

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Abstract


The structure of a knowledge base designed by using an extension of the knowledge representation scheme KRP originally developed for the knowledge representation in computer vision systems, is presented in this paper. The HETHI - heterogeneous hierarchical knowledge base consists of one level of the Kanerva-like sparse distributed memory (SDM) and knowledge base designed by the KRP knowledge representation scheme based on the Petri Net theory. The lowest level of the HETH! implemented by Kanerva-like SDM performs associative retrieval information process and supports initialization of the inheritance process at the higher levels of the HETH!. Higher levels of the HETHI are semantic and rule-based levels. In this paper we discuss different reasoning procedures which are supported by the HETHI: "pure" associative infe rence or the so- called recall procedure which is performed only by means of the first level of the HETHI; inheritance procedure defined at semantic level, and finally, inheritance procedure based on the cooperation of the associative recall and inheritance procedure defined at semantic level.

Keywords

heterogeneous hierarchical knowledge base; sparse distributed memory (SDM)

Hrčak ID:

150456

URI

https://hrcak.srce.hr/150456

Publication date:

30.9.1994.

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