Nodose Version 2.0
Summary: Nodose 2.0 enables low-code/no-code creation of robust data-extraction wrappers. Generated components map source formats to XML or generic formats, while runtime statistical checks detect extraction errors before they propagate to users, improving data quality. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Brad Adelberg (Northwestern University)
- 2. Matthew Denny (Northwestern University)
BibTeX Citation
@inproceedings{adelberg_sigmod99,
title = {{Nodose Version 2.0}},
author = {Adelberg, Brad and Denny, Matthew},
series = {{SIGMOD} '99},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/304182.304576},
url = {https://dl.acm.org/doi/10.1145/304182.304576},
year = {1999}
}Incoming 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 |
|---|---|---|---|---|
| 812 | NoDoSE - A Tool for Semi-Automatically Extracting Structured and Semistructured Data from Text Documents. | 1998 | SIGMOD | 0.00013851743 |
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