CRII:III: Towards a Continual Collaborative Framework for Knowledge Graph Reasoning — NSF Award to University of Massachusetts Bos
Knowledge graphs (KGs) have become essential tools for organizing and representing complex real-world knowledge. Effectively reasoning over knowledge graphs to extract meaningful insights and uncover novel connections, is crucial for addressing multifaceted national challenges and facilitating interdisciplinary collabo
| Award title | CRII:III: Towards a Continual Collaborative Framework for Knowledge Graph Reasoning |
|---|---|
| Award ID | 2451605 |
| Awardee | University of Massachusetts Boston |
| City | DORCHESTER |
| State | MA |
| Amount obligated | $175,000 |
| Principal investigator | Shichao Pei |
| Program | Info Integration & Informatics |
| Start date | 08/01/2025 |
| Abstract | Knowledge graphs (KGs) have become essential tools for organizing and representing complex real-world knowledge. Effectively reasoning over knowledge graphs to extract meaningful insights and uncover novel connections, is crucial for addressing multifaceted national challenges and facilitating interdisciplinary collaboration. However, current KG reasoning methods face significant challenges related to reliability, sustainability, and extensibility. Reliability issues arise due to varying amounts |
| Source | NSF Awards |
$799/mo
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