Creating ontologies by analyzing natural language texts

1. A method, comprising:

receiving a plurality of semantic structures associated with a text corpus;

identifying, by a processing device, a first semantic structure and a second semantic structure, wherein the first semantic structure comprises a first substructure and a second substructure, wherein the second semantic structure comprises a third substructure and a fourth substructure, and wherein the first substructure is similar to the third substructure in view of a first similarity criterion; and

responsive to determining that the second substructure is similar to the fourth substructure in view of a second similarity criterion, associating, with a certain concept of an ontology associated with the text corpus, objects represented by the second substructure and the fourth substructure.

2. The method of claim 1 , wherein the ontology comprises one or more concepts, each concept associated with one or more instances of the concept represented by one or more objects.

3. The method of claim 1 , wherein the first substructure comprises a left context and a right context surrounding the second substructure.

4. The method of claim 1 , wherein the second substructure comprises a left context and a right context surrounding the fourth substructure.

5. The method of claim 1 , wherein determining that the second substructure is similar to the fourth substructure comprises: identifying a third semantic structure and a fourth semantic structure, wherein the third semantic structure comprises the second substructure and a fifth substructure, wherein the fourth semantic structure comprises the fourth substructure and a sixth substructure, and wherein the firth substructure is similar to the sixth substructure in view of the first similarity criterion.

6. The method of claim 1 , wherein at least one of the first semantic structure and the second semantic structure is represented by a graph comprising a plurality of nodes corresponding to a plurality of semantic classes and a plurality of edges corresponding to a plurality of semantic relationships.

7. The method of claim 1 , wherein identifying the first semantic structure and the second semantic structure comprises comparing a first plurality of semantic classes associated with a first plurality of nodes of a first graph representing the first semantic structure to a second plurality of semantic classes associated with a second plurality of nodes of a second graph representing the second semantic structure.

8. The method of claim 1 , wherein identifying the first semantic structure and the second semantic structure comprises comparing a first plurality of semantemes associated with a first plurality of nodes of a first graph representing the first semantic structure to a second plurality of semantemes associated with a second plurality of nodes of a second graph representing the second semantic structure.

9. The method of claim 1 , wherein identifying the first semantic structure and the second semantic structure comprises comparing a first plurality of deep slots associated with a first plurality of nodes of a first graph representing the first semantic structure to a second plurality of deep slots associated with a second plurality of nodes of a second graph representing the second semantic structure.

10. The method of claim 1 , further comprising producing the plurality of semantic structures by performing a syntactico-semantic analysis of the text corpus.

11. A system, comprising:

a memory;

a processor, coupled to the memory, the processor configured to:

receiving a plurality of semantic structures associated with a text corpus;

identify a first semantic structure and a second semantic structure, wherein the first semantic structure comprises a first substructure and a second substructure, wherein the second semantic structure comprises a third substructure and a fourth substructure, and wherein the first substructure is similar to the third substructure in view of a first similarity criterion; and

responsive to determining that the second substructure is similar to the fourth substructure in view of a second similarity criterion, associate, with a certain concept of an ontology associated with the text corpus, objects represented by the second substructure and the fourth substructure.

12. The system of claim 11 , wherein determining that the second substructure is similar to the fourth substructure comprises: identifying a third semantic structure and a fourth semantic structure, wherein the third semantic structure comprises the second substructure and a fifth substructure, wherein the fourth semantic structure comprises the fourth substructure and a sixth substructure, and wherein the firth substructure is similar to the sixth substructure in view of the first similarity criterion.

13. The system of claim 11 , wherein identifying the first semantic structure and the second semantic structure comprises comparing a first plurality of semantic classes associated with a first plurality of nodes of a first graph representing the first semantic structure to a second plurality of semantic classes associated with a second plurality of nodes of a second graph representing the second semantic structure.

14. The system of claim 11 , wherein identifying the first semantic structure and the second semantic structure comprises comparing a first plurality of semantemes associated with a first plurality of nodes of a first graph representing the first semantic structure to a second plurality of semantemes associated with a second plurality of nodes of a second graph representing the second semantic structure.

15. The system of claim 11 , wherein identifying the first semantic structure and the second semantic structure comprises comparing a first plurality of deep slots associated with a first plurality of nodes of a first graph representing the first semantic structure to a second plurality of deep slots associated with a second plurality of nodes of a second graph representing the second semantic structure.

16. A computer-readable non-transitory storage medium comprising executable instructions that, when executed by a computing device, cause the computing device to perform operations comprising:

receiving a plurality of semantic structures associated with a text corpus;

identifying, by a processing device, a first semantic structure and a second semantic structure, wherein the first semantic structure comprises a first substructure and a second substructure, wherein the second semantic structure comprises a third substructure and a fourth substructure, and wherein the first substructure is similar to the third substructure in view of a first similarity criterion; and

responsive to determining that the second substructure is similar to the fourth substructure in view of a second similarity criterion, associating, with a certain concept of an ontology associated with the text corpus, objects represented by the second substructure and the fourth substructure.

17. The computer-readable non-transitory storage medium of claim 16 , wherein determining that the second substructure is similar to the fourth substructure comprises: identifying a third semantic structure and a fourth semantic structure, wherein the third semantic structure comprises the second substructure and a fifth substructure, wherein the fourth semantic structure comprises the fourth substructure and a sixth substructure, and wherein the firth substructure is similar to the sixth substructure in view of the first similarity criterion.

18. The computer-readable non-transitory storage medium of claim 16 , wherein identifying the first semantic structure and the second semantic structure comprises comparing a first plurality of semantic classes associated with a first plurality of nodes of a first graph representing the first semantic structure to a second plurality of semantic classes associated with a second plurality of nodes of a second graph representing the second semantic structure.

19. The computer-readable non-transitory storage medium of claim 16 , wherein identifying the first semantic structure and the second semantic structure comprises comparing a first plurality of semantemes associated with a first plurality of nodes of a first graph representing the first semantic structure to a second plurality of semantemes associated with a second plurality of nodes of a second graph representing the second semantic structure.

20. The computer-readable non-transitory storage medium of claim 16 , wherein identifying the first semantic structure and the second semantic structure comprises comparing a first plurality of deep slots associated with a first plurality of nodes of a first graph representing the first semantic structure to a second plurality of deep slots associated with a second plurality of nodes of a second graph representing the second semantic structure.