Relations (1)

related 1.58 — strongly supporting 2 facts

Knowledge graphs are utilized as a visual tool to represent complex concepts within the field of cyber security, as evidenced by [1], and are also a primary research topic within the broader domain of symbolic knowledge and machine learning as noted in [2].

Facts (2)

Sources
A systematic literature review of knowledge graph construction and ... sciencedirect.com ScienceDirect 1 fact
claimKnowledge graphs are designed to visually represent complex concepts in cybersecurity, which aids students in understanding and implementing project challenges.
Call for Papers: Special Session on KR and Machine Learning kr.org KR 1 fact
claimThe Special Session on KR and Machine Learning at KR2022 welcomes papers on topics including learning symbolic knowledge (ontologies, knowledge graphs, action theories, commonsense knowledge, spatial/temporal theories, preference/causal models), logic-based/relational learning algorithms, machine-learning driven reasoning, neural-symbolic learning, statistical relational learning, multi-agent learning, symbolic reinforcement learning, learning symbolic abstractions from unstructured data, explainable AI, expressive power of learning representations, knowledge-driven natural language understanding and dialogue, knowledge-driven decision making, knowledge-driven intelligent systems for IoT and cybersecurity, and architectures combining data-driven techniques with formal reasoning.