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Data Exchange and Incomplete Information

Summary: Identifies that data-exchange anomalies arise from mishandling incomplete information and neglecting open/closed-world distinctions. Proposes CWA-based target solutions (extremes: universal and core), null-aware query semantics removing anomalies, plus complexity and maybe-answer results. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1377
Venue
PODS
Year
2006
Pagerank
7.0299158e-05
Overall Rank
3,507 | 75.63%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 12 of 12 citing papers.

Rank Citing Paper Year Venue Pagerank
1,868 Update Exchange with Mappings and Provenance 2007 VLDB 0.0001026365
3,388 The Recovery of a Schema Mapping: Bringing Exchanged Data Back 2008 PODS 7.1502016e-05
3,940 On Reconciling Data Exchange, Data Integration, and Peer Data Management 2007 PODS 6.6096825e-05
4,468 Data Exchange and Schema Mappings in Open and Closed Worlds 2008 PODS 6.1543925e-05
4,750 Normalization and Optimization of Schema Mappings 2009 VLDB 5.9424107e-05
4,997 CWA-Solutions for Data Exchange Settings with Target Dependencies 2007 PODS 5.7690207e-05
5,508 Incomplete Data: What Went Wrong, and How to Fix It 2014 PODS 5.4706858e-05
5,775 Data Exchange beyond Complete Data 2011 PODS 5.3282847e-05
5,901 Answering Aggregate Queries in Data Exchange 2008 PODS 5.2791434e-05
11,908 Recovering Exchanged Data 2015 PODS 4.1905499e-05
12,090 Getting Unique Solution in Data Exchange 2013 VLDB 4.1905499e-05
12,425 Incompleteness in Information Integration 2008 VLDB 4.1905499e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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