first working version of tabular data to rdf knowledge graph implemented

owlapy/util_owl_static_funcs.py

@@ -62,8 +62,6 @@ def save_owl_class_expressions(expressions: OWLClassExpression | List[OWLClassEx
         ontology.add_axiom(equivalent_classes_axiom)
     ontology.save(path=path, inplace=False, rdf_format=rdf_format)
 
-
-
 def csv_to_rdf_kg(path_csv:str=None,path_kg:str=None,namespace:str=None):
     """
     Transfroms a CSV file to an RDF Knowledge Graph in RDF/XML format.
@@ -107,7 +105,6 @@ def csv_to_rdf_kg(path_csv:str=None,path_kg:str=None,namespace:str=None):
         print(row.to_dict())
         i=OWLNamedIndividual(iri=f"{namespace}#{str(index)}")
         for column_name, value in row.to_dict().items():
-
             if isinstance(value, float):
                 axiom = OWLDataPropertyAssertionAxiom(subject=i,
                                                       property_=OWLDataProperty(iri=f"{namespace}#ID_{str(column_name)}"),
@@ -116,5 +113,4 @@ def csv_to_rdf_kg(path_csv:str=None,path_kg:str=None,namespace:str=None):
 
             else:
                 raise NotImplementedError(f"How to represent value={value} has not been decided")
-
     ontology.save(path=path_kg, inplace=False)

tests/test_save_owl_expressions.py → tests/test_owl_static_funcs.py

@@ -1,10 +1,12 @@
-from owlapy.util_owl_static_funcs import save_owl_class_expressions
+from owlapy.util_owl_static_funcs import save_owl_class_expressions, csv_to_rdf_kg
 from owlapy.class_expression import OWLClass, OWLObjectIntersectionOf, OWLObjectSomeValuesFrom
 from owlapy.owl_property import OWLObjectProperty
 from owlapy import owl_expression_to_sparql, owl_expression_to_dl
 from owlapy.owl_ontology_manager import OntologyManager
 from owlapy.owl_axiom import OWLDeclarationAxiom, OWLClassAssertionAxiom
 from owlapy.owl_individual import OWLNamedIndividual, IRI
+from sklearn.datasets import load_iris
+import pandas as pd
 import rdflib
 
 class TestRunningExamples:
@@ -22,4 +24,13 @@ def test_readme(self):
                                    path="owl_class_expressions.owl",
                                    rdf_format= 'rdfxml')
         g=rdflib.Graph().parse("owl_class_expressions.owl")
-        assert len(g)==22
+        assert len(g)==22
+
+    def test_csv_to_kg(self):
+        data = load_iris()
+        # Convert to DataFrame
+        df = pd.DataFrame(data.data, columns=data.feature_names)
+        df['target'] = data.target
+        # Save as CSV
+        df.to_csv("iris_dataset.csv", index=False)
+        csv_to_rdf_kg("iris_dataset.csv", path_kg="iris_kg.owl", namespace="http://example.com/society")