KNOWLEDGE-BASED MANAGEMENT OF RECOGNITION MODELS IN ARTIFICIAL INTELLIGENCE SYSTEMS

1 . A device for identifying at least one object in a data set, the device comprising:

a memory comprising instructions; and

one or more processors in communication with the memory, wherein the one or more processors execute the instructions to:

receive a data set and a query to including the at least one object in the data set;

select at least one recognition model using an entity knowledge database including a plurality of entities corresponding to objects to be identified, wherein each recognition model of a plurality or recognition models is linked to multiple entities of the entity knowledge database; and

process the data set using the at least one selected recognition model to provide an indication of whether the data set includes the at least one object.

2 . The device of claim 1 , wherein the one or more processors execute further instructions to:

receive the plurality of recognition models, each recognition model including at least one annotation; and

for each recognition model:

identify at least one entity of the entity knowledge database that corresponds to the recognition model, based on the at least one annotation of the recognition model; and

link the recognition model to the at least one entity in the entity knowledge database.

3 . The device of claim 1 , wherein:

the at least one recognition model includes multiple recognition models and each recognition model of the multiple recognition models includes at least one parameter indicating computing resources to be used to process the data set using the recognition model; and

the one or more processors execute the instructions to process the data set by processing the data set using at least one recognition model from the multiple recognition models, the at least one recognition model having indicated computing resources that are compatible with resources available to the one or more processors.

4 . The device of claim 1 , wherein the one or more processors execute the instructions to obtain additional resources from a network-connected service before selecting the recognition model.

5 . The device of claim 1 , wherein:

the entity knowledge database is a graph database;

the entities of the entity knowledge graph database are ontologically coupled nodes of the entity knowledge graph database such that a recognition model which is directly linked to one node in the entity knowledge database is linked to all nodes in the entity knowledge database that are ontologically coupled to the one node;

the entity knowledge graph database includes a node corresponding to the at least one object and the node corresponding to the at least one object is not directly linked to a recognition model; and

the one or more processors execute the instructions to select, as the at least one recognition model, one or more recognition models directly linked to at least one node in the entity knowledge database that is ontologically coupled to the node corresponding to the at least one object.

6 . The device of claim 1 , wherein the one or more processors execute the instructions to:

select, as the one or more recognition models associated with the ontologically coupled nodes, a plurality of recognition models linked to a respective plurality of nodes ontologically coupled to the node corresponding to the at least one object;

process the data set using the selected plurality of recognition models; and

combine results of processing the selected plurality of recognition models to provide the indication of whether the data set includes the at least one object.

7 . The device of claim 1 , wherein:

the entity knowledge database is a graph database; and

the entity knowledge graph database includes a plurality of ontologically organized nodes corresponding to the at least one object at different levels of generality and the one or more processors execute the instructions to:

select, as the at least one recognition model, a plurality of recognition models associated with the plurality of nodes corresponding to the different levels of generality of the at least one object;

process the data set using the selected plurality of recognition models; and

combine results of the processing of the selected plurality of recognition models to provide the indication of whether the data set includes the at least one object.

8 . A method for identifying an object in a data set, the method comprising:

searching an entity knowledge database including a plurality of nodes corresponding to objects to be identified, wherein each recognition model of a plurality of recognition models is linked to multiple nodes of the entity knowledge database;

selecting at least one recognition model of the plurality of recognition models to be used to identify the at least one object in response to the search of the entity knowledge database; and

processing the data set using the at least one selected recognition model to provide an indication of whether the data set includes the at least one object.

9 . The method of claim 8 , further comprising:

receiving the plurality of recognition models, each recognition model including at least one annotation; and

for each recognition model:

identifying at least one entity of the entity knowledge database that corresponds to the recognition model, based on the at least one annotation of the recognition model; and

linking the recognition model to the at least one entity in the entity knowledge database.

10 . The method of claim 8 , wherein:

the at least one recognition model includes multiple recognition models and each recognition model of the multiple recognition models includes at least one parameter indicating computing resources to be used to process the data set using the recognition model; and

the method further comprises processing the data set using at least one recognition model from the multiple recognition models, the at least one recognition model having indicated computing resources that are compatible with resources available to the one or more processors.

11 . The method of claim 8 , further comprising obtaining additional resources from a network-connected service before selecting the recognition model.

12 . The method of claim 8 , wherein:

the entity knowledge database is a graph database having entities that are ontologically coupled to nodes of the entity knowledge graph database such that a recognition model which is directly linked to one node in the entity knowledge database is linked to all nodes in the entity knowledge database that are ontologically coupled to the one node and the entity knowledge graph database includes a node corresponding to the at least one object and the node corresponding to the at least one object is not directly linked to a recognition model; and

the method further comprises selecting, as the at least one recognition model, one or more recognition models directly linked to at least one node in the entity knowledge database that is ontologically coupled to the node corresponding to the at least one object.

13 . The method of claim 8 , further comprising:

selecting, as the one or more recognition models associated with the ontologically coupled nodes, a plurality of recognition models linked to a respective plurality of nodes ontologically coupled to the node corresponding to the at least one object;

processing the data set using the selected plurality of recognition models; and

combining results of processing the selected plurality of recognition models to provide the indication of whether the data set includes the at least one object.

14 . The method of claim 8 , wherein:

the entity knowledge database is a graph database that includes a plurality of ontologically organized nodes corresponding to the at least one object at different levels of generality; and

the method further comprises:

selecting, as the at least one recognition model, a plurality of recognition models associated with the plurality of nodes corresponding to the different levels of generality of the at least one object;

processing the data set using the selected plurality of recognition models; and

combining results of the processing of the selected plurality of recognition models to provide the indication of whether the data set includes the at least one object.

15 . A non-transitory computer-readable medium storing computer instructions for identifying an object in a data set that, when executed by one or more processors, cause the one or more processors to:

search an entity knowledge database including a plurality of nodes corresponding to objects to be identified, wherein each recognition model of a plurality of recognition models is linked to multiple nodes of the entity knowledge database;

select at least one recognition model of the plurality of recognition models to be used to identify the at least one object in response to the search of the entity knowledge database; and

process the data set using the at least one selected recognition model to provide an indication of whether the data set includes the at least one object.

16 . The non-transitory computer-readable medium of claim 15 , wherein the computer instructions, when executed by the one or more processors, cause the one or more processors to:

receive the plurality of recognition models, each recognition model including at least one annotation; and

for each recognition model:

identify at least one entity of the entity knowledge database that corresponds to the recognition model, based on the at least one annotation of the recognition model; and

link the recognition model to the at least one entity in the entity knowledge database.

17 . The non-transitory computer-readable medium of claim 15 , wherein:

the at least one recognition model includes multiple recognition models and each recognition model of the multiple recognition models includes at least one parameter indicating computing resources to be used to process the data set using the recognition model; and

the computer instructions, when executed by the one or more processors, cause the one or more processors to process the data set using at least one recognition model from the multiple recognition models, the at least one recognition model having indicated computing resources that are compatible with resources available to the one or more processors.

18 . The non-transitory computer-readable medium of claim 15 , further comprising computer instructions that, when executed by the one or more processors, cause the one or more processors to obtain additional resources from a network-connected service before selecting the recognition model.

19 . The non-transitory computer-readable medium of claim 15 , wherein:

the entity knowledge database is a graph database having entities that are ontologically coupled to nodes of the entity knowledge graph database such that a recognition model which is directly linked to one node in the entity knowledge database is linked to all nodes in the entity knowledge database that are ontologically coupled to the one node and the entity knowledge graph database includes a node corresponding to the at least one object and the node corresponding to the at least one object is not directly linked to a recognition model; and

the computer instructions, when executed by the one or more processors, cause the one or more processors to select, as the at least one recognition model, one or more recognition models directly linked to at least one node in the entity knowledge database that is ontologically coupled to the node corresponding to the at least one object.

20 . The non-transitory computer-readable medium of claim 15 , further comprising computer instructions that, when executed by the one or more processors, cause the one or more processors to:

select, as the one or more recognition models associated with the ontologically coupled nodes, a plurality of recognition models linked to a respective plurality of nodes ontologically coupled to the node corresponding to the at least one object;

process the data set using the selected plurality of recognition models; and

combine results of processing the selected plurality of recognition models to provide the indication of whether the data set includes the at least one object.