An Information Provider's Wish List for a Next Generation Big Data End-to-End Information System
Summary: Thomson Reuters proposes an end-to-end big-document/data platform to store and interlink massive heterogeneous content using open standards for cross-domain insight. Presents a concise wish-list of missing capabilities in current OSS/commercial stacks: unified scalable ingestion/storage, rich semantic linking and provenance, flexible schemas/versioning, federated query, governance and low-latency serving. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Mona M. Vernon (Thomson Reuters)
- 2. Brian Ulicny (Thomson Reuters)
- 3. Dan Bennett (Thomson Reuters)
BibTeX Citation
@inproceedings{vernon_cidr15,
address = {Amsterdam, Netherlands},
series = {{CIDR} '15},
title = {{An Information Provider's Wish List for a Next Generation Big Data End-to-End Information System}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Vernon, Mona M. and Ulicny, Brian and Bennett, Dan},
year = {2015}
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 516 | Data Curation at Scale: The Data Tamer System | 2013 | CIDR | 0.00017171198 |
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