"""
Knowledge Graph Module

Implements RDF-based semantic storage for infinite reverb tails.
"""

class KnowledgeGraph:
    """
    Convolution engine for knowledge graphs.
    """

    def __init__(self):
        self.triples = []  # Simplified RDF triples: (subject, predicate, object)

    def add_triple(self, subject, predicate, object_):
        """Add an RDF triple."""
        self.triples.append((subject, predicate, object_))

    def query(self, subject=None, predicate=None, object_=None):
        """
        Query the knowledge graph.

        Parameters
        ----------
        subject, predicate, object_ : str or None
            Query filters.

        Returns
        -------
        results : list
            Matching triples.
        """
        results = []
        for s, p, o in self.triples:
            if (subject is None or s == subject) and \
               (predicate is None or p == predicate) and \
               (object_ is None or o == object_):
                results.append((s, p, o))
        return results

    def infer_ontology(self, concept):
        """
        Perform ontology-based inference.

        Parameters
        ----------
        concept : str
            Concept to infer about.

        Returns
        -------
        inferences : list
            Inferred relationships.
        """
        # Simplified inference
        related = [t for t in self.triples if concept in t]
        return related

    def decay_modeling(self):
        """Natural decay modeling for reverb."""
        return "Ontology-based decay simulated."
