Abstract:
In the burgeoning field of knowledge representation, the construction and maintenance of highquality knowledge graphs (KG’s) play a pivotal role in ensuring the accuracy and reliability of information. This research endeavors to establish a comprehensive framework for assessing the quality of knowledge graphs, introducing novel matrices and metrics tailored to capture the intricacies of knowledge representation. Our approach involves the development of quantifiable measures that evaluate aspects such as completeness, consistency, accuracy, and contextual relevance within a knowledge graph.
