Hybrid In-Database Inference for Declarative Information Extraction
Summary: Hybrid in-database inference for declarative information extraction. Per-record selection among MCMC variants, Viterbi, and sum-product in a PDB-based IE engine optimizes accuracy versus runtime; reports up to 10× speedups over non-hybrid baselines. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Daisy Zhe Wang (University of California Berkeley)
- 2. Michael J. Franklin (University of California Berkeley)
- 3. Minos Garofalakis (Technical University of Crete)
- 4. Joseph M. Hellerstein (University of California Berkeley)
- 5. Michael L. Wick (University of Massachusetts Amherst)
BibTeX Citation
@inproceedings{wang_sigmod11,
title = {{Hybrid In-Database Inference for Declarative Information Extraction}},
author = {Wang, Daisy Zhe and Franklin, Michael J. and Garofalakis, Minos and Hellerstein, Joseph M. and Wick, Michael L.},
series = {{SIGMOD} '11},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1989323.1989378},
url = {https://dl.acm.org/doi/10.1145/1989323.1989378},
year = {2011}
}
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 106 | The MADlib Analytics Library or MAD Skills, the SQL | 2012 | VLDB | 0.00033539462 |
| 532 | MLbase: A Distributed Machine-learning System | 2013 | CIDR | 0.00017072641 |
| 993 | Simulation of Database-Valued Markov Chains Using SimSQL | 2013 | SIGMOD | 0.00012789598 |
| 3,952 | Towards High-Throughput Gibbs Sampling at Scale: A Study across Storage Managers | 2013 | SIGMOD | 6.9967272e-05 |
| 4,431 | Database Principles in Information Extraction | 2014 | PODS | 6.7088601e-05 |
| 4,680 | Probabilistic Databases with MarkoViews | 2012 | VLDB | 6.5675814e-05 |
| 5,915 | WADaR: Joint Wrapper and Data Repair | 2015 | VLDB | 6.0437843e-05 |
| 9,124 | Ontological Pathfinding: Mining First-Order Knowledge from Large Knowledge Bases | 2016 | SIGMOD | 5.319248e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 50 | Efficient Query Evaluation on Probabilistic Databases | 2004 | VLDB | 0.00043596705 |
| 78 | ULDBs: Databases with Uncertainty and Lineage | 2006 | VLDB | 0.00036571789 |
| 238 | MCDB: A Monte Carlo Approach to Managing Uncertain Data | 2008 | SIGMOD | 0.0002369322 |
| 319 | Declarative Information Extraction Using Datalog with Embedded Extraction Predicates | 2007 | VLDB | 0.00021377065 |
| 408 | MauveDB: Supporting Model-based User Views in Database Systems | 2006 | SIGMOD | 0.00019008806 |
| 820 | BayesStore: Managing Large, Uncertain Data Repositories with Probabilistic Graphical Models | 2008 | VLDB | 0.00013814535 |
| 1,986 | Scalable Probabilistic Databases with Factor Graphs and MCMC | 2010 | VLDB | 9.3519536e-05 |
| 3,216 | Toward Best-Effort Information Extraction | 2008 | SIGMOD | 7.6322141e-05 |
| 3,973 | Uncertainty Management in Rule-Based Information Extraction Systems | 2009 | SIGMOD | 6.9810029e-05 |
| 4,935 | Querying Probabilistic Information Extraction | 2010 | VLDB | 6.4357418e-05 |
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