US 2024/0193440 A1Published application

Dynamically enriching shared knowledge graphs

AssigneeMicrosoft Technology Licensing, LLC

InventorsHarsh SHRIVASTAVA, Sarah PANDA, Liang DU

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Abstract

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.

Claims20

Dependent claims

A computer-implemented method, comprising:

generating, at a server device, a confidence value for a first edge connection between a first node and a second node, wherein the first edge connection is part of a first edge relationship table that corresponds to displaying a shared knowledge graph having nodes and edges;
determining to not display the first edge connection on the shared knowledge graph based on the confidence value for the first edge connection being below an edge displaying threshold;
receiving, at the server device, a second edge relationship table from a user identifier, the second edge relationship table having an instance of the first edge connection between the first node and the second node;
in response to receiving the second edge relationship table, generating an updated confidence value for the first edge connection within the first edge relationship table;
and
providing, for display within a graphical user interface, the shared knowledge graph including the first edge connection based on the updated confidence value for the first edge connection satisfying the edge displaying threshold.

3 more elements

A system comprising:

at least one processor at a server device;
and
a computer memory comprising instructions that, when executed by the at least one processor at the server device, cause the system to carry out operations comprising:
generating a confidence value for a first edge connection between a first node and a second node, wherein the first edge connection is part of a first edge relationship table that corresponds to displaying a shared knowledge graph having nodes and edges;
determining to not display the first edge connection on the shared knowledge graph based on the confidence value for the first edge connection being below an edge displaying threshold;
receiving a second edge relationship table from a client device associated with a user identifier, the second edge relationship table having an instance of the first edge connection between the first node and the second node;
in response to receiving the second edge relationship table, generating an updated confidence value for the first edge connection within the first edge relationship table;
and
providing, to the client device associated with the user identifier, the shared knowledge graph, wherein the shared knowledge graph is updated to the first edge connection based on the updated confidence value for the first edge connection satisfying the edge displaying threshold.

6 more elements

A computer-implemented method comprising:

receiving a first edge relationship table having a first edge connection for connecting a first node and a second node according to a first edge relationship type;
generating a confidence value for the first edge connection based on a first set of attributes of the first edge relationship table;
determining, based on the confidence value of the first edge connection not satisfying an edge displaying threshold, to not include the first edge connection on a shared knowledge graph;
receiving a second edge relationship table having the first edge connection connecting the first node and the second node according to the first edge relationship type;
generating an updated confidence value for the first edge connection based on the first set of attributes of the first edge relationship table and a second set of attributes of the second edge relationship table;
and
displaying the first edge connection in the shared knowledge graph based on the updated confidence value satisfying the edge displaying threshold.

4 more elements

Dependencies are inferred from the claim text.