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Cephalopod - Virtual Data Model Composition through Partial Query Translation

Summary: Targets the explosion of model-to-model mappings when apps run on an "imposed" data model by proposing a Bridge Representation that enables partial query translation for composing virtual data models. Enables hybrid virtual/physical integration and shows preliminary cost-effective support for embeddings vs full ETL. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
541
Venue
CIDR
Year
2025
Pagerank
5.093636e-05
Overall Rank
10,630 | 27.07%
DOI
-

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BibTeX Citation

@inproceedings{pirk_cidr25,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '25},
        title = {{Cephalopod - Virtual Data Model Composition through Partial Query Translation}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Pirk, Holger and Loughlin, David Conor},
        year = {2025}
}

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