Machine reasoning as a service

1. A computer-implemented method performed by one or more computers comprising:

obtaining, by the one or more computers, a query from a client device associated with a user, the query comprising a plurality of terms;

determining, by the one or more computers, a meaning for each term or group of terms in the plurality of terms, wherein the determining comprises:

parsing, by the one or more computers, the plurality of terms into separate terms; and

identifying, using each of the separate terms and by the one or more computers, (i) entities reflective of clinical terms, (ii) relationships reflective of clinical actions based on the entities, and (iii) one or more ontologies based on the meanings for at least some of the terms in the plurality of terms;

determining, by the one or more computers, user data for the user that submitted the query;

identifying, by the one or more computers, a knowledge graph based on the one or more identified ontologies and the user data;

generating, by the one or more computers, a response to the query by traversing a particular path of the identified knowledge graph to identify one or more items in the knowledge graph based on the determined meaning for each of the terms or group of terms;

generating, by the one or more computers, path data that represents the particular path taken by the one or more computers through the identified knowledge graph; and

providing, by the one or more computers, the generated response that comprises the one or more identified items and the path data to the client device for output.

2. The computer-implemented method of claim 1 , wherein the determined user data comprises one or more of a location of the user or a job position of the user.

3. The computer-implemented method of claim 1 , wherein identifying the one or more ontologies based on at least some of the meanings for each of the terms in the plurality of terms comprises:

storing, by the one or more computers, a plurality of ontologies in an ontology knowledge base, each ontology in the plurality of ontologies built using historical medical data that comprises at least one of previous clinical trial data, clinical journals, biology data, life sciences data, genetic data, disease data, and pharmacological data, and the historical medical data is stored in each of the ontologies in a structured manner;

retrieving, by the one or more computers, the one or more ontologies based on the user data; and

selecting, by the one or more computers, a subset of ontologies from the one or more retrieved ontologies based on a match between historical data in the subset of ontologies to at some of the meanings for each of the terms in the plurality of terms.

4. The computer-implemented method of claim 3 , wherein identifying the knowledge graph based on the one or more identified ontologies and the user data further comprises:

identifying, by the one or more computers, the knowledge graph from a plurality of stored knowledge graphs, each stored knowledge graph of the plurality of stored knowledge graphs connecting entities and corresponding relationships;

wherein identifying the knowledge graph from the plurality of stored knowledge graphs further comprises:

identifying, by the one or more computers, the knowledge graph that matches to the subset of the ontologies; and

providing, by the one or more computers, the identified knowledge graph to an inference engine for determining the path data.

5. The computer-implemented method of claim 1 , wherein generating the response to the query by traversing the particular path of the identified knowledge graph to identify one or more items based on the determined meaning for each term further comprises generating, by the one or more computers, the response to the query from the client device by (i) traversing the particular path of the identified knowledge graph based on the determined meaning for each term and (ii) accessing the one or more items located at an end of the particular path.

6. The computer-implemented method of claim 5 , wherein generating the path data that represents the particular path taken by the one or more computers through the identified knowledge graph further comprises tracking, by the one or more computers, the particular path taken by the one or more computers through the identified knowledge graph that comprises matching the meaning for each term in the plurality of terms to entities and relationships in the identified knowledge graph.

7. The computer-implemented method of claim 6 , wherein providing (i) the generated response to the query and (i) the particular path tracked and taken by the one or more computers through the identified knowledge graph to the client device further comprises transmitting, by the one or more computers, the response to the client device over a network.

8. The computer-implemented method of claim 1 , further comprising:

in response to providing the generated response to the query to the client device for output, receiving, by the one or more computers, an update from the client device that comprises one or more modifications to the one or more identified ontologies and to the identified knowledge graph; and

modifying, by the one or more computers, the one or more identified ontologies or the identified knowledge graph based on the update that comprises the one or more modifications.

9. A system comprising:

one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising:

obtaining, by the one or more computers, a query from a client device associated with a user, the query comprising a plurality of terms;

determining, by the one or more computers, a meaning for each term or group of terms in the plurality of terms, wherein the determining comprises:

parsing, by the one or more computers, the plurality of terms into separate terms; and

identifying, using each of the separate terms and by the one or more computers, (i) entities reflective of clinical terms, (ii) relationships reflective of clinical actions based on the entities, and (iii) one or more ontologies based on the meanings for at least some of the terms in the plurality of terms;

determining, by the one or more computers, user data for the user that submitted the query;

identifying, by the one or more computers, a knowledge graph based on the one or more identified ontologies and the user data;

generating, by the one or more computers, a response to the query by traversing a particular path of the identified knowledge graph to identify one or more items in the knowledge graph based on the determined meaning for each of the terms or group of terms;

generating, by the one or more computers, path data that represents the particular path taken by the one or more computers through the identified knowledge graph; and

providing, by the one or more computers, the generated response that comprises the one or more identified items and the path data to the client device for output.

10. The system of claim 9 , wherein the determined user data comprises one or more of a location of the user or a job position of the user.

11. The system of claim 9 , wherein identifying the one or more ontologies based on at least some of the meanings for each of the terms in the plurality of terms comprises:

storing, by the one or more computers, a plurality of ontologies in an ontology knowledge base, each ontology in the plurality of ontologies built using historical medical data that comprises at least one of previous clinical trial data, clinical journals, biology data, life sciences data, genetic data, disease data, and pharmacological data, and the historical medical data is stored in each of the ontologies in a structured manner;

retrieving, by the one or more computers, the one or more ontologies based on the user data; and

selecting, by the one or more computers, a subset of ontologies from the one or more retrieved ontologies based on a match between historical data in the subset of ontologies to at some of the meanings for each of the terms in the plurality of terms.

12. The system of claim 11 , wherein identifying the knowledge graph based on the one or more identified ontologies and the user data further comprises:

identifying, by one or more computers, the knowledge graph from a plurality of stored knowledge graphs, each stored knowledge graph of the plurality of stored knowledge graphs connecting entities and corresponding relationships;

wherein identifying the knowledge graph from the plurality of stored knowledge graphs further comprises:

identifying, by the one or more computers, the knowledge graph that matches to the subset of the ontologies; and

providing, by the one or more computers, the identified knowledge graph to an inference engine for determining the path data.

13. The system of claim 9 , wherein generating the response to the query by traversing the particular path of the identified knowledge graph to identify one or more items based on the determined meaning for each term further comprises generating, by the one or more computers, the response to the query from the client device by (i) traversing the particular path of the identified knowledge graph based on the determined meaning for each term and (ii) accessing the one or more items located at an end of the particular path.

14. The system of claim 13 , wherein generating the path data that represents the particular path taken by the one or more computers through the identified knowledge graph further comprises tracking, by the one or more computers, the particular path taken by the one or more computers through the identified knowledge graph that comprises matching the meaning for each term in the plurality of terms to entities and relationships in the identified knowledge graph.

15. The system of claim 14 , wherein providing (i) the generated response to the query and (i) the particular path tracked and taken by the one or more computers through the identified knowledge graph to the client device further comprises transmitting, by the one or more computers, the response to the client device over a network.

16. The system of claim 9 , further comprising:

in response to providing the generated response to the query to the client device for output, receiving, by the one or more computers, an update from the client device that comprises one or more modifications to the one or more identified ontologies and to the identified knowledge graph; and

modifying, by the one or more computers, the one or more identified ontologies or the identified knowledge graph based on the update that comprises the one or more modifications.

17. A non-transitory computer-readable medium storing software comprising instructions executable by one or more computers which, upon such execution, cause the one or more computers to perform operations comprising:

obtaining, by the one or more computers, a query from a client device associated with a user, the query comprising a plurality of terms;

determining, by the one or more computers, a meaning for each term or group of terms in the plurality of terms, wherein the determining comprises:

parsing, by the one or more computers, the plurality of terms into separate terms; and

identifying, using each of the separate terms and by the one or more computers, (i) entities reflective of clinical terms, (ii) relationships reflective of clinical actions based on the entities, and (iii) one or more ontologies based on the meanings for at least some of the terms in the plurality of terms;

determining, by the one or more computers, user data for the user that submitted the query;

identifying, by the one or more computers, a knowledge graph based on the one or more identified ontologies and the user data;

generating, by the one or more computers, a response to the query by traversing a particular path of the identified knowledge graph to identify one or more items in the knowledge graph based on the determined meaning for each of the terms or group of terms;

generating, by the one or more computers, path data that represents the particular path taken by the one or more computers through the identified knowledge graph; and

providing, by the one or more computers, the generated response that comprises the one or more identified items and the path data to the client device for output.