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λόγος: A System for Translating Queries into Narratives

Summary: Logos translates SQL into natural-language narratives by representing queries as graphs with extensible templates on edges. It uses graph traversal to generate descriptions and supports exploration over schemas with sample or ad hoc queries. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4641
Venue
SIGMOD
Year
2012
Pagerank
9.7050949e-05
Overall Rank
1,808 | 87.60%
DOI
10.1145/2213836.2213929

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{kokkalis_sigmod12,
        title = {{λόγος: A System for Translating Queries into Narratives}},
        author = {Kokkalis, Andreas and Vagenas, Panagiotis and Zervakis, Alexandros and Simitsis, Alkis and Koutrika, Georgia and Ioannidis, Yannis},
        series = {{SIGMOD} '12},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2213836.2213929},
        url = {https://dl.acm.org/doi/10.1145/2213836.2213929},
        year = {2012}
}

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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
6,274 DBMSs Should Talk Back Too 2009 CIDR 5.9305465e-05
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