FusionQuery: On-demand Fusion Queries over Multi-source Heterogeneous Data
Summary: On-demand fusion queries: resolve between-source conflicts using only query-relevant data, avoiding costly full-data batch fusion. FusionQuery combines line-graph-accelerated KG matching with an EM-style veracity/trust estimator and incremental trust updates, improving accuracy and scalability. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Junhao Zhu
- 2. Yuren Mao
- 3. Lu Chen
- 4. Congcong Ge
- 5. Ziheng Wei
- 6. Yunjun Gao
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