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Temporal Aggregation in Active Database Rules

Summary: Introduces TREPL, a temporal-aggregation language for active rules, filling a gap in composite event languages. Semantics map TREPL rules to Datalog_ls, enabling user-defined temporal aggregates and TSMS-like expressiveness; applicable to ODE, Snoop, SAMOS. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3029
Venue
SIGMOD
Year
1997
Pagerank
5.6532019e-05
Overall Rank
7,295 | 49.96%
DOI
10.1145/253260.253359

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{motakis_sigmod97,
        title = {{Temporal Aggregation in Active Database Rules}},
        author = {Motakis, Iakovos and Zaniolo, Carlo},
        series = {{SIGMOD} '97},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/253260.253359},
        url = {https://dl.acm.org/doi/10.1145/253260.253359},
        year = {1997}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
2,524 Optimization of Sequence Queries in Database Systems 2001 PODS 8.4681197e-05
6,168 GRETA: Graph-based Real-time Event Trend Aggregation 2018 VLDB 5.9519439e-05
8,322 Event Trend Aggregation Under Rich Event Matching Semantics 2019 SIGMOD 5.4540698e-05
9,764 Complex Event Analytics: Online Aggregation of Stream Sequence Patterns 2014 SIGMOD 5.2233526e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

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

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