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Holistic Query Evaluation over Information Extraction Pipelines

Summary: Holistic in-database query processing for information extraction pipelines models the joint CRF distribution with factor graphs. Canopy Factor Graphs, built on canopy clustering, capture this distribution and enable approximate cross-task inference. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11918
Venue
VLDB
Year
2018
Pagerank
5.093636e-05
Overall Rank
11,953 | 18.00%
DOI
10.14778/3149193.3149201

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BibTeX Citation

@article{ioannou_vldb18,
        title = {{Holistic Query Evaluation over Information Extraction Pipelines}},
        author = {Ioannou, Ekaterini and Garofalakis, Minos},
        journal = {PVLDB},
        series = {{VLDB} '18},
        volume = {11},
        number = {2},
        pages = {217--229},
        doi = {10.14778/3149193.3149201},
        url = {https://doi.org/10.14778/3149193.3149201},
        year = {2018}
}

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