Knowledge representation and reasoning

Field of artificial intelligence

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📌 Topics

Knowledge Graphs (1)
Artificial Intelligence (1)
Data Science (1)
Machine Learning (1)
Technological innovation (1)
Research advancement (1)
Knowledge representation (1)

🏷️ Keywords

Knowledge Graph Completion (1) · TA-KAND (1) · Two-stage Attention (1) · U-KAN (1) · Few-shot Learning (1) · Long-tailed Distribution (1) · Heterogeneous Knowledge (1) · Knowledge Representation (1) · Assumption-Based Argumentation (1) · CABA framework (1) · Structured argumentation (1) · Knowledge representation (1) · Research methodology (1) · ArXiv publication (1) · Reasoning systems (1)

📖 Key Information

Knowledge representation (KR) aims to model information in a structured manner to formally represent it as knowledge in knowledge-based systems whereas knowledge representation and reasoning (KRR, KR&R, or KR²) also aims to understand, reason, and interpret knowledge. KRR is widely used in the field of artificial intelligence (AI) with the goal to represent information about the world in a form that a computer system can use to solve complex tasks, such as diagnosing a medical condition or having a natural-language dialog. KR incorporates findings from psychology about how humans solve problems and represent knowledge, in order to design formalisms that make complex systems easier to design and build.

📰 Related News (2)

🇺🇸 TA-KAND: Two-stage Attention Triple Enhancement and U-KAN based Diffusion For Few-shot Knowledge Graph Completion (2026-02-16)
arXiv:2512.12182v2 Announce Type: replace Abstract: Knowledge Graphs have become fundamental infrastructure for applications such as intelligent ques...
🇺🇸 Constrained Assumption-Based Argumentation Frameworks (2026-02-16)
arXiv:2602.13135v1 Announce Type: new Abstract: Assumption-based Argumentation (ABA) is a well-established form of structured argumentation. ABA fram...

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