The updated logic includes handling various data formats like dates, …

…booleans, numbers, coordinates, and pre-tagged language literals.

csv2rdfConverter.py

@@ -2,33 +2,83 @@
 from dateutil import parser
 import re
 
-
 def is_coordinate(value):
-    # Check if the value matches the pattern for coordinates
+    """
+    Check if the value matches the pattern for WKT-style coordinates.
+    """
     return re.match(r"^Point\(-?\d+(\.\d+)? -?\d+(\.\d+)?\)$", value)
 
+def is_numeric(value):
+    """
+    Check if the value is numeric (integer or float).
+    """
+    try:
+        float(value)
+        return True
+    except ValueError:
+        return False
+
+def is_boolean(value):
+    return value.lower() in {"true", "false"}
+
+def is_integer(value):
+    try:
+        int(value)
+        return True
+    except ValueError:
+        return False
+
+def is_decimal(value):
+    try:
+        float(value)
+        return '.' in value and not value.isdigit()
+    except ValueError:
+        return False
 
 def format_triple(subject, predicate, obj):
-    # Check if object is a URI
+    """
+    Format the RDF triple based on the type of the object.
+    """
+    # URIs
     if obj.startswith("http"):
         return f"<{subject}> <{predicate}> <{obj}> ."
-    else:
-        # Check if object is a datetime
-        try:
-            parsed_date = parser.isoparse(obj)
-            # Format as xsd:dateTime
+
+    # Datetimes
+    try:
+        parsed_date = parser.isoparse(obj)
+        if "T" in obj:
             return f"<{subject}> <{predicate}> \"{parsed_date.isoformat()}\"^^<http://www.w3.org/2001/XMLSchema#dateTime> ."
-        except ValueError:
-            # Check if object is a coordinate
-            if is_coordinate(obj):
-                return f"<{subject}> <{predicate}> \"{obj}\"^^<http://www.opengis.net/ont/geosparql#wktLiteral> ."
-            # Escape single and double quotes within the object string
-            obj = obj.replace('"', '\\"')
-            # Specify English language tag
-            return f"<{subject}> <{predicate}> \"{obj}\"@en ."
+        else:
+            return f"<{subject}> <{predicate}> \"{parsed_date.date()}\"^^<http://www.w3.org/2001/XMLSchema#date> ."
+    except ValueError:
+        pass
 
+    # Booleans
+    if is_boolean(obj):
+        return f"<{subject}> <{predicate}> \"{obj.lower()}\"^^<http://www.w3.org/2001/XMLSchema#boolean> ."
+
+    # Numbers
+    if is_integer(obj):
+        return f"<{subject}> <{predicate}> \"{obj}\"^^<http://www.w3.org/2001/XMLSchema#integer> ."
+    if is_decimal(obj):
+        return f"<{subject}> <{predicate}> \"{obj}\"^^<http://www.w3.org/2001/XMLSchema#decimal> ."
+
+    # Coordinates
+    if is_coordinate(obj):
+        return f"<{subject}> <{predicate}> \"{obj}\"^^<http://www.opengis.net/ont/geosparql#wktLiteral> ."
+
+    # Check for existing language tags
+    if re.match(r'^".*"@[a-z]{2}$', obj):
+        return f"<{subject}> <{predicate}> {obj} ."
+
+    # Escape and default to string with @en
+    obj = obj.replace('"', '\\"')
+    return f"<{subject}> <{predicate}> \"{obj}\"@en ."
 
 def convert_csv_to_nt(input_csv, output_nt):
+    """
+    Convert a CSV file to an N-Triples (.nt) file.
+    """
     with open(input_csv, 'r', newline='', encoding='utf-8') as csvfile, open(output_nt, 'w', encoding='utf-8') as ntfile:
         csvreader = csv.reader(csvfile)
         next(csvreader)  # Skip the header row
@@ -43,7 +93,6 @@ def convert_csv_to_nt(input_csv, output_nt):
             else:
                 print(f"Error: Invalid row format - should contain at least 3 columns. Row: {row}")
 
-
 if __name__ == "__main__":
     input_csv_file = "inputFilepathHere.csv"  # Change this to the path of your input CSV file
     output_nt_file = "outputFilepathHere.nt"  # Change this to the desired path of your output .nt file