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 |
|---|---|---|---|---|
| 105 | The MADlib Analytics Library or MAD Skills, the SQL | 2012 | VLDB | 0.00033633007 |
| 537 | MLbase: A Distributed Machine-learning System | 2013 | CIDR | 0.00016762761 |
| 1,009 | Simulation of Database-Valued Markov Chains Using SimSQL | 2013 | SIGMOD | 0.0001253551 |
| 4,029 | Towards High-Throughput Gibbs Sampling at Scale: A Study across Storage Managers | 2013 | SIGMOD | 6.840359e-05 |
| 4,532 | Database Principles in Information Extraction | 2014 | PODS | 6.5553316e-05 |
| 4,766 | Probabilistic Databases with MarkoViews | 2012 | VLDB | 6.424681e-05 |
| 6,015 | WADaR: Joint Wrapper and Data Repair | 2015 | VLDB | 5.9107226e-05 |
| 9,287 | Ontological Pathfinding: Mining First-Order Knowledge from Large Knowledge Bases | 2016 | SIGMOD | 5.2015703e-05 |
Previous
Page 1 / 1
Next
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 |
|---|---|---|---|---|
| 51 | Efficient Query Evaluation on Probabilistic Databases | 2004 | VLDB | 0.00042926566 |
| 84 | ULDBs: Databases with Uncertainty and Lineage | 2006 | VLDB | 0.00035960573 |
| 245 | MCDB: A Monte Carlo Approach to Managing Uncertain Data | 2008 | SIGMOD | 0.00023251151 |
| 328 | Declarative Information Extraction Using Datalog with Embedded Extraction Predicates | 2007 | VLDB | 0.00020921862 |
| 417 | MauveDB: Supporting Model-based User Views in Database Systems | 2006 | SIGMOD | 0.00018625112 |
| 842 | BayesStore: Managing Large, Uncertain Data Repositories with Probabilistic Graphical Models | 2008 | VLDB | 0.00013535734 |
| 2,021 | Scalable Probabilistic Databases with Factor Graphs and MCMC | 2010 | VLDB | 9.171164e-05 |
| 3,275 | Toward Best-Effort Information Extraction | 2008 | SIGMOD | 7.4670832e-05 |
| 4,060 | Uncertainty Management in Rule-Based Information Extraction Systems | 2009 | SIGMOD | 6.8225089e-05 |
| 5,024 | Querying Probabilistic Information Extraction | 2010 | VLDB | 6.3081571e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 5,271 | InferDB: In-Database Machine Learning Inference Using Indexes | 2024 | VLDB |
| 2 | 3,580 | On-the-Fly Entity-Aware Query Processing in the Presence of Linkage | 2010 | VLDB |
| 3 | 3,771 | Optimizing MPF Queries: Decision Support and Probabilistic Inference | 2007 | SIGMOD |
| 4 | 8,650 | Anytime Approximation in Probabilistic Databases via Scaled Dissociations | 2019 | SIGMOD |
| 5 | 2,021 | Scalable Probabilistic Databases with Factor Graphs and MCMC | 2010 | VLDB |
| 6 | 51 | Efficient Query Evaluation on Probabilistic Databases | 2004 | VLDB |
| 7 | 3,040 | Knowledge Expansion over Probabilistic Knowledge Bases | 2014 | SIGMOD |
| 8 | 690 | Creating Probabilistic Databases from Information Extraction Models | 2006 | VLDB |
| 9 | 4,657 | A Temporal-Probabilistic Database Model for Information Extraction | 2013 | VLDB |
| 10 | 5,024 | Querying Probabilistic Information Extraction | 2010 | VLDB |