New AMR Scheme: amr_scheme_clara_1

tenet/config.xml

@@ -7,7 +7,7 @@
         />
 
     <cts
-        amr_cts_ref = "amr_scheme_1"
+        amr_cts_ref = "amr_scheme_clara_1"
         unl_cts_ref = "unl_scheme_1"
         />
 
@@ -24,7 +24,7 @@
     <file
         amr_input_data_schema = "amr-rdf-schema"
         unl_input_data_schema = "unl-rdf-schema"
-        semantic_net_schema = "semantic-net"
+        semantic_net_schema = "odrl-snet-schema"
         config_param = "config-parameters"
         />
 

tenet/scheme/amr_clara_rule/__init__.py

+from scheme.amr_clara_rule.preprocessing.amr_reification import *
+from scheme.amr_clara_rule.preprocessing.amrld_correcting import * 
+
+from scheme.amr_clara_rule.transduction.atom_class_extractor import * 
+from scheme.amr_clara_rule.transduction.atom_individual_extractor import * 
+from scheme.amr_clara_rule.transduction.atom_property_extractor import * 
+from scheme.amr_clara_rule.transduction.atom_value_extractor import * 
+from scheme.amr_clara_rule.transduction.atom_phenomena_extractor import * 
+from scheme.amr_clara_rule.transduction.atom_relation_propagator import * 
+
+from scheme.amr_clara_rule.transduction.composite_class_extractor_1 import * 
+from scheme.amr_clara_rule.transduction.composite_class_extractor_2 import * 
+
+from scheme.amr_clara_rule.transduction.phenomena_polarity_analyzer_1 import * 
+from scheme.amr_clara_rule.transduction.phenomena_mod_analyzer_1 import * 
+from scheme.amr_clara_rule.transduction.phenomena_or_analyzer_1 import * 
+from scheme.amr_clara_rule.transduction.phenomena_or_analyzer_2 import * 
+
+from scheme.amr_clara_rule.odrl_generation.odrl_rule_generator import *
+
+from scheme.amr_clara_rule import *

tenet/scheme/amr_clara_rule/odrl_generation/odrl_rule_generator.py

+#!/usr/bin/python3.10
+# -*-coding:Utf-8 -*
+
+#==============================================================================
+# TENET: Rule to conjunctive phenomena or (rule 1)
+#------------------------------------------------------------------------------
+# Net Expansion AMR rule to analyse conjunctive phenomena (or)
+# Rule: property(class, or_phenomena) => compositeClass
+#==============================================================================
+
+import rdflib
+from rdflib import Graph
+from rdflib.namespace import FOAF, RDF
+
+import transduction
+from transduction import net
+from transduction.rdfterm_computer import produce_uriref, produce_literal
+from transduction.query_builder import generate_select_query
+from transduction.naming_computer import define_axiom_naming
+from transduction.naming_computer import define_composite_naming_2
+
+
+#==============================================================================
+# Pattern Search: Rule and Action Nets
+#==============================================================================  
+       
+def __search_pattern_1(graph):
+    select_data_list = ['?rule_net']
+    clause_list = [(f'?rule_net a net:Rule_Net.')]
+    query_code = generate_select_query(graph, select_data_list, clause_list)
+    result_set = graph.query(query_code) 
+    return query_code, result_set
+
+
+def __search_pattern_2(graph):
+    select_data_list = ['?action_net']
+    clause_list = [(f'?action_net a net:Action_Net.')]
+    query_code = generate_select_query(graph, select_data_list, clause_list)
+    result_set = graph.query(query_code) 
+    return query_code, result_set
+
+
+
+#==============================================================================
+# Check Methods
+#==============================================================================
+
+def __is_property_to_generate(property_net):
+    check_1 = property_net.is_deprecated()
+    if is_instance(property_net.mother_property_net, list):
+        check_2 = len(property_net.mother_property_net) > 0
+    else:
+        check_2 = False
+    return not check_1 or check_2
+    
+   
+    
+#==============================================================================
+# Generator Methods
+#==============================================================================
+
+def __compute_policy_uri(graph, net):        
+    return produce_uriref(graph, f'ext-out:policy_{net.structure}')
+
+
+def __compute_odrl_rule_type_uri(graph, net):
+    odrl_rule_type_uri = f'odrl:permission'
+    # TODO: odrl:permission, odrl;obligation, odrl:prohibition
+    return produce_uriref(graph, odrl_rule_type_uri)
+
+
+def __generate_odrl_triple_definition(graph, net):     
+    policy_uri = __compute_policy_uri(graph, net)       
+    odrl_rule_type_uri = __compute_odrl_rule_type_uri(graph, net)      
+    action_definition = produce_literal(graph, 'net:x') 
+    # print(f'{policy_uri}, {odrl_rule_type_uri}, {action_definition}')
+    return [(policy_uri, odrl_rule_type_uri, action_definition)]
+
+  
+    
+#==============================================================================
+# Main Method: analyze_phenomena_or_1
+#==============================================================================
+
+def generate_odrl_rule(graph):
+    
+    # -- Rule Initialization 
+    rule_label = 'generate ODRL rule' 
+    rule_triple_list = []
+
+    # -- Get property net listings
+    _, pattern_set = __search_pattern_1(graph)
+    
+    # # -- Triple Definition for 'not deprecated property net'
+    for pattern in pattern_set:
+        rule_net = net.RuleNet(graph, pattern.rule_net)
+        if not rule_net.is_deprecated():
+            rule_triple_list += __generate_odrl_triple_definition(graph, rule_net)
+        
+    return rule_label, rule_triple_list
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