Query language support for incomplete information in the MayBMS system
Summary: Introduces I-SQL, an SQL extension for querying and updating incomplete information in MayBMS. Explicitly supports possible-world materialization, key-based repairs, and world-probability assignment for data cleaning and moving-object monitoring. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Lyublena Antova (Saarland University)
- 2. Christoph Koch (Saarland University)
- 3. Dan Olteanu (Saarland University)
BibTeX Citation
@article{antova_vldb07,
title = {{Query language support for incomplete information in the MayBMS system}},
author = {Antova, Lyublena and Koch, Christoph and Olteanu, Dan},
journal = {PVLDB},
series = {{VLDB} '07},
pages = {1422--1423},
year = {2007}
}Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,663 | On Probabilistic Fixpoint and Markov Chain Query Languages | 2010 | PODS | 7.1188602e-05 |
| 4,029 | Towards High-Throughput Gibbs Sampling at Scale: A Study across Storage Managers | 2013 | SIGMOD | 6.8419186e-05 |
| 4,213 | Approximating Predicates and Expressive Queries on Probabilistic Databases | 2008 | PODS | 6.7296503e-05 |
| 4,849 | Probabilistic String Similarity Joins | 2010 | SIGMOD | 6.3809679e-05 |
| 5,275 | Top-k Nearest Neighbor Search In Uncertain Data Series | 2015 | VLDB | 6.2005202e-05 |
| 5,940 | Leveraging Spatio-Temporal Redundancy for RFID Data Cleansing | 2010 | SIGMOD | 5.9406205e-05 |
| 5,986 | Querying Uncertain Data with Aggregate Constraints | 2011 | SIGMOD | 5.9260205e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,543 | From Complete to Incomplete Information and Back | 2007 | SIGMOD | 8.3182354e-05 |
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|---|---|---|---|---|
| 1 | 11,683 | Querying Incomplete Numerical Data: Between Certain and Possible Answers | 2023 | PODS |
| 2 | 5,392 | Incomplete Data: What Went Wrong, and How to Fix It | 2014 | PODS |
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| 4 | 2,404 | Document Spanners for Extracting Incomplete Information: Expressiveness and Complexity | 2018 | PODS |
| 5 | 12,900 | Incompleteness in Information Integration | 2008 | VLDB |
| 6 | 14,770 | Completeness Information and Its Application to Query Processing | 1986 | VLDB |
| 7 | 6,626 | Representing and Querying XML with Incomplete Information | 2001 | PODS |
| 8 | 7,605 | Incomplete Information and Certain Answers in General Data Models | 2011 | PODS |
| 9 | 2,805 | MayBMS: A Probabilistic Database Management System | 2009 | SIGMOD |
| 10 | 2,543 | From Complete to Incomplete Information and Back | 2007 | SIGMOD |