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| from typing import Dict, List, Set, Optional, Any | |
| import networkx as nx | |
| class OntologicalDatabase: | |
| def __init__(self): | |
| self.knowledge_graph = nx.MultiDiGraph() | |
| self.relation_types = set() | |
| self.temporal_index = {} | |
| def add_knowledge(self, concept: str, properties: Dict[str, Any], | |
| relations: List[Dict[str, Any]] = None) -> None: | |
| self.knowledge_graph.add_node(concept, **properties) | |
| if relations: | |
| for relation in relations: | |
| self.add_relation(concept, relation.get('target'), | |
| relation.get('relation_type'), | |
| relation.get('properties', {})) | |
| def _search_knowledge_graph(self, query: Dict[str, Any]) -> Dict[str, Any]: | |
| # Placeholder implementation | |
| return {} | |
| def _get_temporal_context(self, query: Dict[str, Any]) -> Dict[str, Any]: | |
| # Placeholder implementation | |
| return {} | |
| def _integrate_results(self, results: Dict[str, Any], | |
| temporal_context: Dict[str, Any]) -> Dict[str, Any]: | |
| # Placeholder implementation | |
| return results | |
| def query_by_complex(self, query: Dict[str, Any]) -> Dict[str, Any]: | |
| results = self._search_knowledge_graph(query) | |
| temporal_context = self._get_temporal_context(query) | |
| return self._integrate_results(results, temporal_context) | |
| def add_relation(self, source: str, target: str, relation_type: str, properties: Dict[str, Any]) -> None: | |
| self.knowledge_graph.add_edge(source, target, | |
| relation_type=relation_type, | |
| **properties) | |
| self.relation_types.add(relation_type) | |
| def query_knowledge(self, concept: str, relation_type: Optional[str] = None) -> Dict[str, Any]: | |
| if relation_type: | |
| return { | |
| 'concept': concept, | |
| 'relations': list(self.knowledge_graph.edges(concept, data=True)), | |
| 'properties': self.knowledge_graph.nodes[concept] | |
| } | |
| return { | |
| 'concept': concept, | |
| 'properties': self.knowledge_graph.nodes[concept] | |
| } | |