With the development of information technology, knowledge graph has become a new form of knowledge expression, and gradually shows great application potential in the fields of big data, artificial intelligence and so on.

Knowledge graph is a reticular knowledge base composed of entities with attributes connected by relationships. The entities are represented by "node" and the "relationship" between them are represented by "edge", which is easier to understand. Compared with conventional structured tabular data, atlas data has powerful data description ability, which can achieve faster and more efficient query, faster and more accurate data relevance reasoning operation, and mining hidden relationships.

Geographical knowledge graph is the expansion of knowledge graph in geography, which mainly extracts geographical entities from geographical spatial data, and can formally describe the concepts, entities, attributes and relationships in the field of geography. Knowledge graph, as a new data organization mode and management application perspective, is the only way to realize intelligent extraction of multi-source heterogeneous spatio-temporal information and knowledge services, and will also be an important driving force for the intelligent transformation of natural resources management and digital China construction in the future.

SuperMap iServer knowledge graph service will provide users with the ability to visualize, query, and share.