Multi-Modal Entity Alignment Using Uncertainty Quantification for Modality Importance

Multi-Modal Entity Alignment Using Uncertainty Quantification for Modality Importance

The knowledge graphs are structured data utilized for information retrieval purposes. Entity alignment using multi-modal supplementary information plays an important role in knowledge graph integration. However, if the supplementary information is missing or incorrect, it can negatively impact the r...

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Bibliographic Details
Main Authors: Kenta Hama, Takashi Matsubara
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Artificial intelligence
knowledge-based systems
knowledge representation
entity alignment
multi-modal learning
information retrieval
Online Access:https://ieeexplore.ieee.org/document/10077596/

Internet

https://ieeexplore.ieee.org/document/10077596/

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