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Analysis of Database Search Systems with THOR

Summary: THOR offers a unified evaluation suite for unstructured-query search: benchmark, comparison framework, multiple implementations, and an interactive tool. It addresses fragmentation across systems and guides open data-management research. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5914
Venue
SIGMOD
Year
2020
Pagerank
5.093636e-05
Overall Rank
11,773 | 19.23%
DOI
10.1145/3318464.3384679

Incoming Non-self Citations Over Time

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Authors

BibTeX Citation

@inproceedings{belmpas_sigmod20,
        title = {{Analysis of Database Search Systems with THOR}},
        author = {Belmpas, Theofilos and Gkini, Orest and Koutrika, Georgia},
        series = {{SIGMOD} '20},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3318464.3384679},
        url = {https://dl.acm.org/doi/10.1145/3318464.3384679},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

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

Rank Cited Paper Year Venue Pagerank
37 DISCOVER: Keyword Search in Relational Databases 2002 VLDB 0.00048017193
179 Constructing an Interactive Natural Language Interface for Relational Databases 2015 VLDB 0.00026838277
212 Efficient IR-Style Keyword Search over Relational Databases 2003 VLDB 0.000247733
930 SPARK: Top-k Keyword Query in Relational Databases 2007 SIGMOD 0.0001312728
1,214 SODA: Generating SQL for Business Users 2012 VLDB 0.0001163751
1,808 λόγος: A System for Translating Queries into Narratives 2012 SIGMOD 9.7050949e-05
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