This survey provides a comprehensive review of knowledge graphs, covering research topics such as knowledge graph representation learning (KRL), knowledge acquisition, temporal knowledge graphs, and knowledge-aware applications. It introduces a full-view categorization and new taxonomies for these topics, including representation space, scoring function, encoding models, and auxiliary information. The survey also explores emerging topics like meta relational learning, commonsense reasoning, and temporal knowledge graphs. Additionally, it offers a curated collection of datasets and open-source libraries for future research. The paper highlights recent breakthroughs and perspectives on future research directions, emphasizing the importance of integrating human knowledge into intelligent systems for complex tasks.This survey provides a comprehensive review of knowledge graphs, covering research topics such as knowledge graph representation learning (KRL), knowledge acquisition, temporal knowledge graphs, and knowledge-aware applications. It introduces a full-view categorization and new taxonomies for these topics, including representation space, scoring function, encoding models, and auxiliary information. The survey also explores emerging topics like meta relational learning, commonsense reasoning, and temporal knowledge graphs. Additionally, it offers a curated collection of datasets and open-source libraries for future research. The paper highlights recent breakthroughs and perspectives on future research directions, emphasizing the importance of integrating human knowledge into intelligent systems for complex tasks.