Kendall C Clark

US Patent:

20210342350, Nov 4, 2021

Filed:

Jul 14, 2021

Appl. No.:

17/375624

Inventors:

- Arlington VA, US
Michael Howard GROVE - Ellicott City MD, US
Kendall Grant CLARK - Great Falls VA, US
Pavel KLINOV - Heidelberg, DE

Assignee:

Stardog Union - Arlington VA

International Classification:

G06F 16/2453
G06N 5/02
G06N 20/00
G06F 16/901
G06F 16/2458

Abstract:

In certain embodiments, resource usage in a data retrieval process may be reduced. In some embodiments, a graph query related to a data request may be obtained. The graph query may be transformed into a query set based on a graph data model and patterns of the graph query. Upon generation, the query set may include queries and query operators linking the queries, where the query operators include a first query operator linking first and second queries of the queries or other query operators. Prior to execution of the first and second queries, a satisfiability issue may be predicted, where the satisfiability issue is related to combining results derived from the first and second queries. Based on the prediction, the first query operator may be removed from the query set to update the query set. The updated query set may be executed to satisfy the graph query.

US Patent:

20190384766, Dec 19, 2019

Filed:

Feb 13, 2019

Appl. No.:

16/274440

Inventors:

- Arlington VA, US
Michael Howard Grove - Ellicott City MD, US
Kendall Grant Clark - Great Falls VA, US
Pavel Klinov - Heidelberg, DE

Assignee:

Stardog Union - Arlington VA

International Classification:

G06F 16/2453
G06F 16/901
G06N 5/02
G06N 20/00

Abstract:

In certain embodiments, resource usage in a data retrieval process may be reduced. In some embodiments, a graph query related to a data request may be obtained. The graph query may be transformed into a query set based on a graph data model and patterns of the graph query. Upon generation, the query set may include queries and query operators linking the queries, where the query operators include a first query operator linking first and second queries of the queries or other query operators. Prior to execution of the first and second queries, a satisfiability issue may be predicted, where the satisfiability issue is related to combining results derived from the first and second queries. Based on the prediction, the first query operator may be removed from the query set to update the query set. The updated query set may be executed to satisfy the graph query.

US Patent:

20190384863, Dec 19, 2019

Filed:

Jun 13, 2018

Appl. No.:

16/007911

Inventors:

- Arlington VA, US
Michael Howard Grove - Ellicott City MS, US
Kendall Grant Clark - Great Falls VA, US
Pedro Carvalho de Oliveira - Porto, PT

International Classification:

G06F 17/30
G06N 3/08
G06F 15/18
G06K 9/62

Abstract:

In some embodiments, templates related to each graph data model of a graph data model set for converting non-graph data representations in a non-graph database to graph data representations compatible with a graph database may be obtained. One or more templates and the non-graph data representations may be provided to a neural network for the neural network to predict additional templates. The additional templates may be provided to the neural network as reference feedback for the neural network's prediction of the additional templates to train the neural network. A collection of non-graph data representations from a given non-graph database may be provided to the neural network for the neural network to generate one or more templates for a given graph data model for converting non-graph data representations in the given non-graph database into graph data representations compatible with a given graph database.