Animal Attribute Classification via Knowledge Graph Expert System

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.