Added test for Forw.RuleReasonerOWLHorst rule O11c

Author: patrickwestphal

sansa-inference-spark/src/test/resources/forward_chaining/axioms/test_o11c.owl

@@ -0,0 +1,20 @@
+Prefix(:=<http://ex.com/default#>)
+
+Ontology(<http://ex.com/ont/sample1.owl>
+  <http://ex.com/ont/release/123/sample1.owl>
+
+  Declaration(Class(:Cls1))
+  Declaration(Class(:Cls2))
+
+  Declaration(Class(:Cls3))
+  Declaration(Class(:Cls4))
+  Declaration(Class(:Cls5))
+
+  # should be detected as equivalent classes
+  SubClassOf(:Cls02 :Cls01)
+  SubClassOf(:Cls01 :Cls02)
+
+  # just random sub class axioms
+  SubClassOf(:Cls04 :Cls03)
+  SubClassOf(:Cls04 :Cls05)
+)

sansa-inference-spark/src/test/scala/net/sansa_stack/inference/spark/forwardchaining/axioms/ForwardRuleReasonerOWLHorstTest.scala

@@ -570,4 +570,28 @@ class ForwardRuleReasonerOWLHorstTest extends FunSuite with SharedSparkContext w
     assert(inferred.contains(df.getOWLSubClassOfAxiom(cls04, cls05)))
     assert(inferred.contains(df.getOWLSubClassOfAxiom(cls05, cls04)))
   }
+
+  /**
+    * O11c:
+    *   Condition:
+    *     v owl:subClassOf w
+    *     w owl:subClassOf v
+    *   Consequence:
+    *     v rdfs:equivalentClass w
+    */
+  test("Rule O11c should return correct results") {
+    val cls01 = df.getOWLClass(defaultPrefix + "Cls01")
+    val cls02 = df.getOWLClass(defaultPrefix + "Cls02")
+
+    val input = getClass.getResource(resourcePath + "test_o11c.owl").getPath
+
+    val axiomsRDD = spark.owl(Syntax.FUNCTIONAL)(input)
+    val reasoner = new ForwardRuleReasonerOWLHorst(sc, sc.defaultMinPartitions)
+    val inferred: Seq[OWLAxiom] = reasoner.apply(axiomsRDD).collect()
+
+    // One axiom should be inferred:
+    // EquivalentClasses(:Cls01 :Cls02)
+    assert(inferred.size == 1)
+    assert(inferred.contains(df.getOWLEquivalentClassesAxiom(cls01, cls02)))
+  }
 }