The Challenge of Process Data Warehousing
Summary: Process data warehouses centered on a knowledge-based metadata repository to capture and drive heterogeneous engineering processes. A concept-centered approach, extending DWQ ideas, uses selective materialized data and a chemical-engineering prototype in IMPROVE to illustrate the solution. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Matthias Jarke (German National Research Center for Information Technology; RWTH Aachen University)
- 2. Thomas List (RWTH Aachen University)
- 3. Jörg Köller (RWTH Aachen University)
BibTeX Citation
@article{jarke_vldb00,
title = {{The Challenge of Process Data Warehousing}},
author = {Jarke, Matthias and List, Thomas and Köller, Jörg},
journal = {PVLDB},
series = {{VLDB} '00},
pages = {473--484},
year = {2000}
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Outgoing Citations (Sorted by Pagerank)
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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 |
|---|---|---|---|---|
| 1,543 | Data Warehouse Configuration | 1997 | VLDB | 0.00010413384 |
| 1,609 | Managing Semantic Heterogeneity in Databases : A Theoretical Perspective | 1997 | PODS | 0.00010225236 |
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