Query language support for incomplete information in the MayBMS system
Summary: MayBMS provides a compact representation for incomplete data and I-SQL, an SQL extension for explicit uncertainty. Grounded in possible-world semantics, I-SQL preserves storage independence and supports uniform querying across complete and incomplete data. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Lyublena Antova
- 2. Christoph Koch
- 3. Dan Olteanu
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,256 | On Probabilistic Fixpoint and Markov Chain Query Languages | 2010 | PODS | 7.3135363e-05 |
| 4,079 | Towards High-Throughput Gibbs Sampling at Scale: A Study across Storage Managers | 2013 | SIGMOD | 6.4621024e-05 |
| 4,439 | Approximating Predicates and Expressive Queries on Probabilistic Databases | 2008 | PODS | 6.1806955e-05 |
| 4,907 | Probabilistic String Similarity Joins | 2010 | SIGMOD | 5.8365853e-05 |
| 5,763 | Top-k Nearest Neighbor Search In Uncertain Data Series | 2015 | VLDB | 5.3358283e-05 |
| 5,779 | Leveraging Spatio-Temporal Redundancy for RFID Data Cleansing | 2010 | SIGMOD | 5.3273053e-05 |
| 6,083 | Querying Uncertain Data with Aggregate Constraints | 2011 | SIGMOD | 5.2173276e-05 |
Previous
Page 1 / 1
Next
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 |
|---|---|---|---|---|
| 2,493 | From Complete to Incomplete Information and Back | 2007 | SIGMOD | 8.6470623e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,164 | Querying Incomplete Numerical Data: Between Certain and Possible Answers | 2023 | PODS | 4.1905499e-05 |
| 8,802 | Coping with Incomplete Data: Recent Advances | 2020 | PODS | 4.4428211e-05 |
| 5,508 | Incomplete Data: What Went Wrong, and How to Fix It | 2014 | PODS | 5.4706858e-05 |
| 3,683 | Queries with Incomplete Answers over Semistructured Data | 1999 | PODS | 6.84255e-05 |
| 12,425 | Incompleteness in Information Integration | 2008 | VLDB | 4.1905499e-05 |
| 14,272 | Completeness Information and Its Application to Query Processing | 1986 | VLDB | - |
| 6,505 | Representing and Querying XML with Incomplete Information | 2001 | PODS | 5.0282726e-05 |
| 7,391 | Incomplete Information and Certain Answers in General Data Models | 2011 | PODS | 4.7383385e-05 |
| 2,883 | MayBMS: A Probabilistic Database Management System | 2009 | SIGMOD | 7.9665191e-05 |
| 2,493 | From Complete to Incomplete Information and Back | 2007 | SIGMOD | 8.6470623e-05 |