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)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Timo Eckmann
- 2. Carsten Binnig
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 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 398 | Big Data Integration | 2013 | VLDB | 0.00024372588 |
| 2,730 | Open Data Integration | 2018 | VLDB | 8.2126735e-05 |
| 4,739 | AutoTQA: Towards Autonomous Tabular Question Answering through Multi-Agent Large Language Models | 2024 | VLDB | 5.959592e-05 |
| 7,026 | Mind the Data Gap: Bridging LLMs to Enterprise Data Integration | 2025 | CIDR | 4.8570811e-05 |
Previous
Page 1 / 1
Next