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Enabling Rich Queries Over Heterogeneous Data From Diverse Sources In HealthCare

Summary: Polystore prototype enabling rich cross-store queries for drug–patient matching, with datasets partitioned across an RDBMS, a text search engine, and a graph database. Applies domain-specific integration/linking and simple query-routing/placement strategies to tackle heterogeneity, placement, and querying challenges in healthcare. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
355
Venue
CIDR
Year
2020
Pagerank
5.3038896e-05
Overall Rank
9,222 | 36.73%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{quamar_cidr20,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '20},
        title = {{Enabling Rich Queries Over Heterogeneous Data From Diverse Sources In HealthCare}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Quamar, Abdul and Straube, Jannik and Tian, Yuanyuan},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

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Rank Citing Paper Year Venue Pagerank
8,208 M2Bench: A Database Benchmark for Multi-Model Analytic Workloads 2023 VLDB 5.4665936e-05
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