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NTHRYSPhD AssistanceSemantic Web Knowledge Engineering

Semantic Web Knowledge Engineering

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Semantic Web Knowledge Engineering

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Research Frontiers in Knowledge Graph Embedding and Representation

Creating low-dimensional vector representations of knowledge graph entities and relations for improved semantic similarity computation and link prediction.

Temporal Dynamics in Evolving Knowledge Graphs
Multimodal Fusion in Heterogeneous Entity Embeddings
Uncertainty Quantification in Knowledge Graph Representations
Compositional Semantics Beyond Triple-Based Encoding
Zero-Shot Knowledge Transfer Across Domain Graphs
Interpretability and Explainability in Embedding Spaces
Scalable Reasoning Over Billion-Scale Knowledge Graphs
Implicit Relations and Hidden Structure Discovery
Cross-Lingual Knowledge Graph Alignment and Transfer
Adversarial Robustness in Knowledge Graph Embeddings

All Semantic Web & Knowledge Engineering PhD categories