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
- 2. Brian Ulicny
- 3. Dan Bennett
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| 489 | Data Curation at Scale: The Data Tamer System | 2013 | CIDR | 0.00022030728 |
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