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Retrieves a single dbo_Concepts node from a Neo4j graph database by matching its unique ID property.

Purpose

This function queries a Neo4j database to fetch a specific dbo_Concepts node using its ID. It's designed for retrieving individual concept records from a knowledge graph or ontology structure. The function returns the first matching node or None if no match is found, making it suitable for lookup operations in applications working with DBpedia ontology concepts or similar graph-based knowledge representations.

Source Code

def get_dbo_concepts_by_id(id):
    """Get a dbo_Concepts node by its ID"""
    query = """
    MATCH (n:dbo_Concepts {id: $id})
    RETURN n
    """
    result = run_query(query, {"id": id})
    return result[0] if result else None

Parameters

Parameter Details

id: The unique identifier of the dbo_Concepts node to retrieve. Expected to be a string or integer value that matches the 'id' property of a node in the Neo4j database. This should correspond to a valid concept ID in the database schema.

Return Value

Returns the first matching dbo_Concepts node as a dictionary-like object (Neo4j Node object) if found, or None if no node with the specified ID exists. The returned node contains all properties associated with that dbo_Concepts record in the database.

Dependencies

• neo4j

Required Imports

from neo4j import GraphDatabase

Usage Example

# Assuming run_query is defined and Neo4j connection is configured
from neo4j import GraphDatabase

# Example usage
concept_id = "12345"
result = get_dbo_concepts_by_id(concept_id)

if result:
    print(f"Found concept: {result}")
    # Access node properties
    concept_name = result.get('name')
    concept_description = result.get('description')
else:
    print(f"No concept found with ID: {concept_id}")

Best Practices

• Ensure the run_query function is properly defined and handles Neo4j connection management
• Validate the id parameter before calling this function to avoid unnecessary database queries
• Handle the None return value appropriately in calling code to prevent NoneType errors
• Consider adding error handling for database connection failures
• The function assumes run_query returns a list; ensure this contract is maintained
• For production use, consider adding logging for debugging and monitoring purposes
• If querying multiple concepts, consider using a batch query function instead of calling this repeatedly

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