Onto-DP: Constructing Neighborhoods for Differential Privacy on Ontological Databases

Key Points

• Differential privacy enhances data protection while maintaining utility in ontological databases, leading to better data security.
• The analysis introduces innovative neighborhoods that optimize privacy mechanisms, ensuring sensitive information remains safe.
• Through systematic exploration of various privacy strategies, the framework shows practical approaches to safeguard data metrics.
• Implications include enabling safer data sharing practices, though further validation in real-world applications is necessary.