Traditional methods are difficult to classify animals scientifically and effectively based on their multiple attributes. In this paper, we establish a multi-level knowledge graph expert system to classify animals scientifically and effectively. Specifically, we implement a hierarchical knowledge graph of direct and indirect rules to enable the scientific and effective matching of multiple attributes to animal categories. Our software implements a knowledge graph expert system and achieves significant results. Our approach can be used as a reference for intelligent attribute classification of goods and objects.
Animal Attribute Classification via Knowledge Graph Expert System
2021-10-20
1274579 byte
Conference paper
Electronic Resource
English
Graph attribute embedding via Riemannian submersion learning
British Library Online Contents | 2011
|A Min-Max Graph Application to the Base of Knowledge Organization of the Expert System
British Library Online Contents | 1993
|Expert knowledge based SPC quality system
Automotive engineering | 1998
|Integration of Expert System Knowledge Bases
British Library Online Contents | 1996
|Knowledge-Acquisition Tool For Expert System
NTRS | 1988
|