Relations (1)
related 2.32 — strongly supporting 4 facts
Knowledge graphs are directly linked to security as a critical domain of application [1], while simultaneously presenting significant operational challenges regarding data privacy and protection [2], [3], and [4] that must be managed to ensure successful enterprise implementation.
Facts (4)
Sources
What are the challenges in maintaining a knowledge graph? - Milvus milvus.io 2 facts
claimOrganizations can harness the full potential of their knowledge graphs to drive informed decision-making and innovation by understanding and proactively managing challenges related to data quality, scalability, semantic complexity, and security.
claimPrivacy and security concerns in knowledge graphs require implementing robust security measures, such as permissions, auditing mechanisms, and encryption protocols, to protect sensitive or proprietary information and ensure regulatory compliance.
LLM-Powered Knowledge Graphs for Enterprise Intelligence and ... arxiv.org 1 fact
claimIntegrating large language models and knowledge graphs in enterprise contexts faces four key challenges: hallucination of inaccurate facts or relationships, data privacy and security concerns, computational overhead of running extraction at scale, and ontology mismatch when merging different knowledge sources.
A Survey on State-of-the-art Techniques for Knowledge Graphs ... arxiv.org 1 fact
claimKnowledge graphs provide syntax and reasoning semantics that allow machines to solve complex problems in fields such as healthcare, security, financial institutions, and economics.