DYNAMICALLY ENRICHING SHARED KNOWLEDGE GRAPHS

Organization Name

Inventor(s)

DYNAMICALLY ENRICHING SHARED KNOWLEDGE GRAPHS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240193440 titled 'DYNAMICALLY ENRICHING SHARED KNOWLEDGE GRAPHS

The present disclosure discusses a dynamic knowledge graph enrichment system that automatically maintains shared knowledge graphs among user groups with the latest findings and discoveries. This system transforms static shared knowledge graphs into evolving ones, incorporating new edge connections with statistical guarantees after verifying their reliability. It also enables the formation of new connections between different shared knowledge graphs, enhancing exploration and providing updates.

Utilizes a dynamic knowledge graph enrichment system to maintain shared knowledge graphs among user groups.
Automatically updates knowledge graphs with new findings and discoveries.
Transforms static shared knowledge graphs into evolving ones with statistical guarantees.
Incorporates new edge connections after verifying their reliability and veracity.
Facilitates the formation of new connections between different shared knowledge graphs.
Enhances exploration over multiple knowledge graphs.
Provides synergistic updates to shared knowledge graphs.

Potential Applications

The technology can be applied in various fields such as research, data analysis, knowledge management, and collaborative projects where shared knowledge graphs are utilized.

Problems Solved

This technology addresses the challenge of keeping shared knowledge graphs up-to-date with the latest information and discoveries, as well as facilitating the discovery of new connections between different knowledge graphs.

Benefits

The system automates the maintenance of shared knowledge graphs, ensuring they are always current and reliable. It also enhances collaboration and knowledge sharing among user groups by facilitating the exploration of multiple knowledge graphs.

Commercial Applications

The technology can be used in research institutions, data analytics companies, collaborative projects, and any other organization that relies on shared knowledge graphs for decision-making and information sharing.

Prior Art

Readers can explore prior research on dynamic knowledge graph enrichment systems, automated knowledge graph maintenance, and collaborative knowledge graph management to gain a deeper understanding of the existing technology landscape.

Frequently Updated Research

Stay informed about the latest advancements in dynamic knowledge graph enrichment systems, automated knowledge graph maintenance, and collaborative knowledge graph management to keep up with the evolving technology trends.

Questions about Dynamic Knowledge Graph Enrichment System

How does the dynamic knowledge graph enrichment system ensure the reliability of new edge connections?

The system utilizes statistical guarantees to verify the reliability and veracity of proposed edge connections before incorporating them into the shared knowledge graph.

What are the potential applications of a dynamic knowledge graph enrichment system beyond user group collaboration?

The technology can also be applied in fields such as artificial intelligence, machine learning, and semantic web technologies to enhance data analysis and knowledge discovery processes.

Original Abstract Submitted

the present disclosure relates to utilizing a dynamic knowledge graph enrichment system to dynamically and automatically maintain knowledge graphs shared between groups of user identifiers with up-to-date findings and discoveries. in particular, the dynamic knowledge graph enrichment system changes static shared knowledge graphs into dynamically evolving ones utilizing statistical guarantees that automatically incorporate new edge connections into a shared knowledge graph after verifying the reliability and veracity of the proposed edge connections being offered. further, the dynamic knowledge graph enrichment system facilitates forming new connections between different shared knowledge graphs that previously went undetected by flexibly facilitating exploration over multiple knowledge graphs and providing synergistic knowledge graph updates.