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 (Technical University of Darmstadt)
- 2. Carsten Binnig (German National Research Center for Information Technology; Technical University of Darmstadt; hessian.AI)
BibTeX Citation
@inproceedings{eckmann_cidr26,
address = {Amsterdam, Netherlands},
series = {{CIDR} '26},
title = {{A Vision for Autonomous Data Agent Collaboration: From Query-by-Integration to Query-by-Collaboration}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Eckmann, Timo and Binnig, Carsten},
year = {2026}
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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 |
|---|---|---|---|---|
| 427 | Big Data Integration | 2013 | VLDB | 0.00018661543 |
| 2,216 | Open Data Integration | 2018 | VLDB | 8.9374127e-05 |
| 4,308 | AutoTQA: Towards Autonomous Tabular Question Answering through Multi-Agent Large Language Models | 2024 | VLDB | 6.7682891e-05 |
| 7,228 | Mind the Data Gap: Bridging LLMs to Enterprise Data Integration | 2025 | CIDR | 5.66667e-05 |
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