A Vision for Autonomous Data Agent Collaboration: From Query-by-Integration to Query-by-Collaboration
Summary: Proposes decentralized query answering: autonomous agents as intelligent source interfaces collaborating via a Query Collaboration Protocol instead of centralized integration. Gives design principles and QCP; QCP-DB prototype matches integrated-system accuracy on heterogeneous/noisy sources while eliminating data-integration costs. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Timo Eckmann
- 2. Carsten Binnig
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 394 | Big Data Integration | 2013 | VLDB | 0.0002447017 |
| 2,737 | Open Data Integration | 2018 | VLDB | 8.2053894e-05 |
| 4,735 | AutoTQA: Towards Autonomous Tabular Question Answering through Multi-Agent Large Language Models | 2024 | VLDB | 5.9538651e-05 |
| 7,027 | Mind the Data Gap: Bridging LLMs to Enterprise Data Integration | 2025 | CIDR | 4.8524216e-05 |
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