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Enterprise Knowledge Graph

Mininglamp Technology has been a pioneer in the research, development, and commercial application of enterprise knowledge graph technologies in China, with a specialization in developing domain-specific enterprise knowledge graphs that are designed to tackle a plethora of industry-specific problems, which set it apart from leading search engines who focus in building generic knowledge graphs.

Our Competitive Advantages

Knowledge graphs are one of the major technologies in the field of cognitive intelligence. Minglue Technology transforms industry data into knowledge, forming an industry knowledge graph, and uses knowledge graphs to assist industries in achieving intelligent decision-making.

Dynamizing Knowledge Graphs with Time, Space, and Events

Uniquely incorporate the concepts of “events,” “time,” and “space” to graph modeling which enriches the context and relevance of the knowledge graphs and optimizes the storage of time-series data, making them more dynamic and informative.

Efficient and Scalable Knowledge Graph for Rapid Insights

Support the storage and computing of over 9.5 billion entities, relationships, and events, and processing real-time queries in milliseconds, demonstrating exceptional performance and scalability.

Backtracking Historical Data for Increased Reliability and Accuracy

Mininglamp Technology’s enterprise-level knowledge graph supports historical data backtracking, recording historical data and allowing users to access and review previously generated knowledge graph content.

Application of Enterprise Knowledge Graph

Mininglamp Technology innovatively applies knowledge graph technology to multiple scenarios of marketing intelligence and operational intelligence.

create comprehensive user profiles that accurately identify target user groups

deliver insights by integrating and analyzing data across social media platforms

promptly identify changes in public opinion trends and potential public relations risks

conduct competitive analysis and gain competitive insights

social network structure analysis including user associations, group structures etc

comprehend the intricate relationships between content and users for product innovation

store fault detection and decision support