Database Paper Browser

Back to papers

A framework for annotating CSV-like data

Summary: Framework to annotate CSV-like data and noisy variants with metadata via an extended regex selection language and annotation rules. The approach yields an output-sensitive, input-linear evaluator; real-data experiments confirm practical efficiency. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11375
Venue
VLDB
Year
2016
Pagerank
4.9092462e-05
Overall Rank
6,846 | 52.38%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
3,963 Pytheas: Pattern-based Table Discovery in CSV Files 2020 VLDB 6.5840643e-05
7,807 Pollock: A Data Loading Benchmark 2023 VLDB 4.6457732e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers