DBScholar

Back to papers

Towards a Unified Framework for String Similarity Joins

Summary: Unified framework for combining syntactic, synonym-based, and taxonomy-based string similarities in joins. NP-hard to maximize; introduces a polynomial-time approximation and a pebble-based multi-measure signature for efficient filtering. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12013
Venue
VLDB
Year
2019
Pagerank
5.2351259e-05
Overall Rank
9,702 | 33.44%
DOI
10.14778/3342263.3342268

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{xu_vldb19,
        title = {{Towards a Unified Framework for String Similarity Joins}},
        author = {Xu, Pengfei and Lu, Jiaheng},
        journal = {PVLDB},
        series = {{VLDB} '19},
        volume = {12},
        number = {11},
        pages = {1289--1302},
        doi = {10.14778/3342263.3342268},
        url = {https://doi.org/10.14778/3342263.3342268},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
11,293 Dealing with Acronyms, Abbreviations, and Typos in Real-World Entity Matching 2024 VLDB 5.093636e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 8 of 8 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