DBScholar

Back to papers

Similarity-Based Queries

Summary: Domain-independent framework for similarity queries: pattern language, transformation-rule language (similarity-preserving transforms), and a calculus-style query language, tunable to domains (sequences, text, images). Instantiated for sequences (regex patterns) with strong approximation, expressiveness and complexity results. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
h10c130316c4aca72
Venue
PODS
Year
1995
Pagerank
6.7666324e-05
Overall Rank
4,166 | 72.00%
DOI
10.1145/212433.212444

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{jagadish_pods95,
        address = {New York, NY, USA},
        series = {{PODS} '95},
        title = {{Similarity-Based Queries}},
        url = {https://dl.acm.org/doi/10.1145/212433.212444},
        doi = {10.1145/212433.212444},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Jagadish, H. V. and Mendelzon, Alberto O. and Milo, Tova},
        year = {1995}
}

Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

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