Semantic translation of data sets

1. A method comprising:

accessing a semantic map between a schema of a relational database (RDB) and a resource description framework (RDF) data model, the semantic map defined according to a first semantic ontology, the first semantic ontology defining subjects and respective objects associated with the subjects;

applying the semantic map to data loaded from the RDB to generate a first set of semantic objects;

storing the first set of semantic objects in a staging RDF triplestore; and

executing a script to transform the first set of semantic objects into a second set of semantic objects according to a second semantic ontology, the second semantic ontology defining subjects and respective objects associated with the subjects in the second ontology, wherein executing the script includes:

accessing a transitive map in the script that identifies mappings between the objects defined in the first semantic ontology to the subjects defined in the second semantic ontology;

generating a semantic object based on a foreign key of column in a table of the RDB;

storing the second set of semantic objects into a production RDF triplestore;

querying the staging RDF triplestore for a code associated with a semantic object of the first set of semantic objects, wherein the code is an object defined in the first semantic ontology;

looking up the code in the transitive map to determine a type of object linked to the code, the type of object being defined as a subject of the second semantic ontology; and

generating another semantic object according to the type of object.

2. The method of claim 1 , wherein the code is stored as the object of the semantic object.

3. The method of claim 1 , further comprising:

receiving a query for the production RDF triplestore;

retrieving a set of result semantic objects from the production RDF triplestore based on the query; and

presenting the set of result semantic objects in a graph format, wherein the graph format is based on the second semantic ontology.

4. The method of claim 3 , wherein presenting the set of result semantic objects in a graph format comprises:

determining that a first semantic object of the set of result semantic objects has a likelihood above a certain threshold of being the same as a second semantic object of the set of result semantic objects; and

presenting an identification of the first and second semantic objects as being likely the same semantic object.

5. The method of claim 1 , further comprising:

traversing the production RDF triplestore to find duplicate semantic objects; and

removing one of duplicate semantic objects.

6. The method of claim 1 , wherein the script is formatted according to SPARQL Protocol and RDF Query Language.

7. A non-transitory computer-readable medium comprising instructions, which when executed by at least one processor, configure the at least one processor to perform operations, the operations comprising:

accessing a semantic map between a schema of a relational database (RDB) and a resource description framework (RDF) data model, the semantic map defined according to a first semantic ontology, the first semantic ontology defining subjects and respective objects associated with the subjects;

applying the semantic map to data loaded from the RDB to generate a first set of semantic objects;

storing the first set of semantic objects in a staging RDF triplestore; and

executing a script to transform the first set of semantic objects into a second set of semantic objects according to a second semantic ontology, the second semantic ontology defining subjects and respective objects associated with the subjects in the second ontology, wherein executing the script includes:

accessing a transitive map in the script that identifies mappings between the objects defined in the first semantic ontology to the subjects defined in the second semantic ontology;

generating a semantic object based on a foreign key of column in a table of the RDB;

storing the second set of semantic objects into a production RDF triplestore;

querying the staging RDF triplestore for a code associated with a semantic object of the first set of semantic objects, wherein the code is an object defined in the first semantic ontology;

looking up the code in the transitive map to determine a type of object linked to the code, the type of object being defined as a subject of the second semantic ontology; and

generating another semantic object according to the type of object.

8. The non-transitory computer-readable medium of claim 7 , wherein the code is stored as the object of the semantic object.

9. The non-transitory computer-readable medium of claim 7 , the operations further comprising:

receiving a query for the production RDF triplestore;

retrieving a set of result semantic objects from the production RDF triplestore based on the query; and

presenting the set of result semantic objects in a graph format, wherein the graph format is based on the second semantic ontology.

10. The non-transitory computer-readable medium of claim 9 , wherein the operation of presenting the set of result semantic objects in a graph format comprises:

determining that a first semantic object of the set of result semantic objects has a likelihood above a certain threshold of being the same as a second semantic object of the set of result semantic objects; and

presenting an identification of the first and second semantic objects as being likely the same semantic object.

11. The non-transitory computer-readable medium of claim 7 , the operations further comprising:

traversing the production RDF triplestore to find duplicate semantic objects; and

removing one of duplicate semantic objects.

12. The non-transitory computer-readable medium of claim 7 , wherein the script is formatted according to SPARQL Protocol and RDF Query Language.

13. A system comprising:

at least one processor;

a storage device comprising instructions, which when executed by the at least one processor, configure the at least one processor to perform operations, the operations comprising:

accessing a semantic map between a schema of a relational database (RDB) and a resource description framework (RDF) data model, the semantic map defined according to a first semantic ontology, the first semantic ontology defining subjects and respective objects associated with the subjects;

applying the semantic map to data loaded from the RDB to generate a first set of semantic objects;

storing the first set of semantic objects in a staging RDF triplestore; and

executing a script to transform the first set of semantic objects into a second set of semantic objects according to a second semantic ontology, the second semantic ontology defining subjects and respective objects associated with the subjects in the second ontology, wherein executing the script includes:

accessing a transitive map in the script that identifies mappings between objects in the first semantic ontology to subjects in the second semantic ontology;

generating a semantic object based on a foreign key of column in a table of the RDB;

storing the second set of semantic objects into a production RDF triplestore;

querying the staging RDF triplestore for a code associated with a semantic object of the first set of semantic objects, wherein the code is an object defined in the first semantic ontology:

looking up the code in the transitive map to determine a type of object linked to the code, the type of object being defined as a subject of the second semantic ontology; and

generating another semantic object according to the type of object.

14. The system of claim 13 , wherein the code is stored as the object of the semantic object.