Add Structure Builder (and update CTS)

structure/cts/amr_ctr/transduction/atomic_extraction.py

@@ -32,7 +32,7 @@ rule_set['create-atom-class-net'] = {
     'comment': "Create Atom Class Net from AMR Term Concept",
     'construction': f"""           
         {atom_class_net.construct(base_node='?leaf1', 
-                                  structure='?sentenceRef',
+                                  structure=structure.sentence_ref,
                                   class_name='?conceptName')}
             
         {atom_class_net.propagate_relations()}
@@ -46,9 +46,7 @@ rule_set['create-atom-class-net'] = {
         ?leaf1Concept rdfs:subClassOf amr:AMR_Term_Concept.
         ?leaf1Concept amr:label ?conceptName.
         
-        # -- Identify structure
-        ?root a amr:AMR_Root ;
-            amr:hasSentenceID ?sentenceRef.
+        {structure.identify()}
             
         {atom_class_net.identify_relations_for_propagation('?leaf1')}
     """,
@@ -69,7 +67,7 @@ rule_set['create-individual-net-1'] = {
                 " (2) without link to domain edge"),
     'construction': f"""
         {individual_net.construct(base_node='?baseLeaf', 
-                                  structure='?sentenceRef',
+                                  structure=structure.sentence_ref,
                                   mother_class_net='?classNet',
                                   individual_label='?valueLabel')}
             
@@ -89,9 +87,7 @@ rule_set['create-individual-net-1'] = {
         		net:coverBaseNode ?baseLeaf ;
             net:hasClassName ?conceptName. 
         
-        # -- Identify structure
-        ?root a amr:AMR_Root ;
-            amr:hasSentenceID ?sentenceRef.
+        {structure.identify()}
             
         {individual_net.identify_relations_for_propagation('?baseLeaf')}
     """,
@@ -111,7 +107,7 @@ rule_set['create-atom-property-net-1'] = {
                 " (1) from AMR Predicat Concept"),
     'construction': f"""
         {atom_property_net.construct(base_node='?baseLeaf', 
-                                     structure='?sentenceRef',
+                                     structure=structure.sentence_ref,
                                      core_role='true',
                                      target_argument_node='?argLeaf',
                                      property_type='owl:ObjectProperty',
@@ -135,9 +131,7 @@ rule_set['create-atom-property-net-1'] = {
                     ?relation amr:hasAmrRole ?someArgRole.
                   }}
         
-        # -- Identify structure
-        ?root a amr:AMR_Root ;
-            amr:hasSentenceID ?sentenceRef.
+        {structure.identify()}
             
         {atom_property_net.identify_relations_for_propagation('?baseLeaf')}
     """,
@@ -297,7 +291,7 @@ rule_set['create-phenomena-net-1'] = {
     'comment': ("Create Phenomena Net from AMR Relation Concept"),
     'construction': f"""
         {phenomena_net.construct(base_node='?baseLeaf', 
-                                 structure='?sentenceRef',
+                                 structure=structure.sentence_ref,
                                  core_role='true',
                                  target_argument_node='?argLeaf',
                                  phenomena_type='?relationConceptPhenomena',
@@ -318,9 +312,7 @@ rule_set['create-phenomena-net-1'] = {
         ?baseLeaf ?relation ?argLeaf.    
         ?relation amr:hasAmrRole ?someArgRole.
         
-        # -- Identify structure
-        ?root a amr:AMR_Root ;
-            amr:hasSentenceID ?sentenceRef.
+        {structure.identify()}
             
         {phenomena_net.identify_relations_for_propagation('?baseLeaf')}
     """,
@@ -345,7 +337,7 @@ if __name__ == '__main__':
     test_query_1 = f"""[...]
         CONSTRUCT {{
             {atom_property_net.construct(base_node='?baseLeaf', 
-                                         structure='?sentenceRef',
+                                         structure=structure.sentence_ref,
                                          core_role='true',
                                          target_argument_node='?argLeaf',
                                          property_type='owl:ObjectProperty',
@@ -364,7 +356,7 @@ if __name__ == '__main__':
             {{node1.concept}} amr:label ?conceptName.
             {{node1.variable}} amr:label ?varLabel.
             
-            {{structure.identify()}}
+            {structure.identify()}
             
             {atom_property_net.identify_relations_for_propagation('?baseLeaf')}
             
@@ -379,7 +371,7 @@ if __name__ == '__main__':
     test_query_2 = f"""[...]
     CONSTRUCT {{
         {individual_net.construct(base_node='?baseLeaf', 
-                                  structure='?sentenceRef',
+                                  structure=structure.sentence_ref,
                                   mother_class_net='?classNet',
                                   individual_label='?valueLabel')}
             

structure/cts/amr_ctr/transduction/query_builder/builders.py

@@ -13,6 +13,14 @@
 #==============================================================================
 
 from .element.net import *
+from .element.structure import *
+
+
+#==============================================================================
+# AMR Structure Builder(s)
+#==============================================================================
+
+structure = Structure()
 
 
 #==============================================================================

structure/cts/amr_ctr/transduction/query_builder/element/structure.py

+#!/usr/bin/python3.10
+# -*-coding:Utf-8 -*
+
+#==============================================================================
+# TENET: Structure Query Builder
+#------------------------------------------------------------------------------
+# Class to generate SPARQL query parts related to structure 
+#==============================================================================
+
+#==============================================================================
+# Importing required modules
+#==============================================================================
+
+# --
+
+
+#==============================================================================
+# Data Repository
+#==============================================================================
+
+# -- Reference Table
+
+NET_TYPE_TABLE = { # *** [type_name: type_id] ***
+    'default': 'Net',
+    'atomClass': 'Atom_Class_Net',
+    'individual': 'Individual_Net',
+    'atomProperty': 'Atom_Property_Net',
+    'phenomena': 'Phenomena_Net'
+    }
+
+PREDICATE_TABLE = { # *** [attribute_reference: attribute_predicate] ***
+    'structure': 'hasStructure',
+    
+    'class_name': 'hasClassName',
+    
+    'mother_class_net': 'hasMotherClassNet',
+    'individual_label': 'hasIndividualLabel',
+    
+    'core_role': 'isCoreRoleLinked',
+    'target_argument_node': 'targetArgumentNode',
+    'property_type': 'hasPropertyType',
+    'property_name': 'hasPropertyName',
+    'property_name01': 'hasPropertyName01',
+    'property_name10': 'hasPropertyName10',
+    'property_name12': 'hasPropertyName12',
+    
+    'phenomena_type': 'hasPhenomenaType',
+    'phenomena_ref': 'hasPhenomenaRef'
+    }
+
+# -- Default Value(s)
+
+DEFAULT_ATTRIBUTE_VALUE = f'\"NA\"'
+
+
+# -- Useful Constant(s)
+
+TRIPLE_ENDING_STR = '\n            '
+
+
+
+#==============================================================================
+# Net Class
+#==============================================================================
+
+class Structure:
+    """ Class to generate SPARQL query parts related to structure.
+    """
+    
+    #--------------------------------------------------------------------------
+    # Constructor(s)
+    #--------------------------------------------------------------------------
+           
+    def __init__(self):
+        
+        # -- Structure Attribute(s)
+        self.sentence_ref = f'?sentenceRef'
+    
+    
+    
+    #--------------------------------------------------------------------------
+    # Method(s) to build 'Clause' parts  
+    #--------------------------------------------------------------------------
+    
+    def identify(self):
+        return f"""
+            # -- Identify structure
+            ?root a amr:AMR_Root.
+            ?root amr:hasSentenceID ?sentenceRef.
+        """
+
+
+    
+#==============================================================================
+# Development Test
+#==============================================================================
+    
+if __name__ == '__main__':
+    
+    print('\n' + ' *** Development Test ***')    
+        
+    print('\n' + ' -- test: Atom Class Net')
+    structure = Structure()
+    print(structure)
+        
+    print('\n' + ' -- test: update a test query')
+    test_query= f"""[...]
+        CONSTRUCT {{
+            [{{atom_class_net.construct('?node1', 
+                                      structure={structure.sentence_ref},
+                                      class_name='?leaf1ConceptLabel')}}
+        
+        }}
+        WHERE {{
+            clause_1
+            clause_2
+            
+            {structure.identify()}
+        }}
+    """
+    print(test_query)
+    
+    print('\n' + ' *** - ***')
\ No newline at end of file

tenet.log

@@ -66,7 +66,7 @@
 - DEBUG - --- Export work graph as turtle
 - DEBUG - ----- Work graph file: ./output/SolarSystemDev1-20221215/SolarSystemDev1-1/SolarSystemDev1.ttl 
 - DEBUG - --- Ending Structure Preparation 
-- DEBUG - ----- Total Execution Time = 0:00:00.122984
+- DEBUG - ----- Total Execution Time = 0:00:00.127085
 - INFO - -- Loading Extraction Scheme (amr_scheme_1)
 - DEBUG - ----- Step number: 3
 - INFO - -- Loading Extraction Rules (amr_ctr/*)
@@ -216,8 +216,8 @@
 - INFO - 
   *** Execution Time *** 
 ----- Function: apply (lib.tenet_extraction)
------ Total Time: 0:00:07.695899
------ Process Time: 0:00:07.663001
+----- Total Time: 0:00:07.567600
+----- Process Time: 0:00:07.544648
   *** - *** 
 - INFO -  === Final Ontology Generation  === 
 - INFO - -- Making complete factoid graph by merging sentence factoid graphs