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 linked by relationships. The entities are represented by "nodes" and the "relationships" between them are represented by "edges", which is easier to understand. Compared with conventional structured table 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.

The SuperMap iDesktop XKnowledge Graph module will provide a complete tool chain for users to build and use Geographic Knowledge Graph, covering knowledge extraction, storage, management, visualization, query and analysis capabilities.

Application value:

• Expression data association: through the integration of massive data clustering, to achieve rapid query, association recommendation and other capabilities.
• Integration of heterogeneous data: It supports the establishment of association between different Data Types and different database data, which is conducive to the use of multi-source heterogeneous data.
• Description of domain knowledge: It supports the expression of the internal logic between complex domain knowledge, and realizes the storage and management of knowledge with the help of database, thus promoting the application of domain and the development of discipline.
• Provide knowledge services: form a knowledge base and provide services such as intelligent audit, knowledge reasoning and information mining, and even realize auxiliary decision-making with the support of artificial intelligence.