DBScholar

Back to papers

IncreQueryFusion: On-demand Data Fusion Framework in Dynamic Data Lakes

Summary: IncreQueryFusion enables incremental, on-demand fusion in dynamic data lakes via temporal-index evidence retrieval, hierarchical truth inference, and dynamic truth maintenance. It improves accuracy 5–30% and delivers >10× speedups over on-demand and >100× over batch methods. (summarized by gpt-5.6-luna on Aug 17 2026)

Paper ID
h682d6bf747a7105b
Venue
VLDB
Year
2026
Pagerank
4.9605343e-05
Overall Rank
10,838 | 27.36%
DOI
10.14778/3819518.3819532
PDF
Download (CC BY-NC-ND 4.0)

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@article{liu_vldb26,
        title = {{IncreQueryFusion: On-demand Data Fusion Framework in Dynamic Data Lakes}},
        author = {Liu, Wenhao and Wu, Sai and Tang, Xiu and Zhang, Yitong and Peng, Dong and Huang, Guolong and Chen, Gang},
        journal = {PVLDB},
        series = {{VLDB} '26},
        volume = {19},
        number = {9},
        pages = {2032--2044},
        doi = {10.14778/3819518.3819532},
        url = {https://doi.org/10.14778/3819518.3819532},
        year = {2026}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank Citing Paper Year Venue Pagerank
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 17 of 17 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
20 Similarity Search in High Dimensions via Hashing 1999 VLDB 0.00057610161
328 The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing 2015 VLDB 0.00020889528
507 A Bayesian Approach to Discovering Truth from Conflicting Sources for Data Integration 2012 VLDB 0.00017144751
623 Data Lake Management: Challenges and Opportunities 2019 VLDB 0.00015446839
877 Integrating Conflicting Data: The Role of Source Dependence 2009 VLDB 0.00013267412
939 Truth Finding on the Deep Web: Is the Problem Solved? 2013 VLDB 0.00012945534
1,128 Structured Streaming: A Declarative API for Real-Time Applications in Apache Spark 2018 SIGMOD 0.00011887295
1,389 Truth Discovery and Copying Detection in a Dynamic World 2009 VLDB 0.00010806623
1,761 Data Fusion – Resolving Data Conflicts for Integration 2009 VLDB 9.6966864e-05
3,327 A Confidence-Aware Approach for Truth Discovery on Long-Tail Data 2015 VLDB 7.4101504e-05
3,689 Detecting Change in Data Streams 2004 VLDB 7.078365e-05
3,813 Incremental Record Linkage 2014 VLDB 6.9873544e-05
5,065 Dissecting, Designing, and Optimizing LSM-based Data Stores 2022 SIGMOD 6.2789973e-05
6,442 Domain-Aware Multi-Truth Discovery from Conflicting Sources 2018 VLDB 5.7667567e-05
7,278 Entity Resolution On-Demand 2022 VLDB 5.5511396e-05
7,422 BrewER: Entity Resolution On-Demand 2023 VLDB 5.5150764e-05
9,954 FusionQuery: On-demand Fusion Queries over Multi-source Heterogeneous Data 2024 VLDB 5.0910746e-05
Previous Page 1 / 1 Next

Semantically Similar Papers