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To Not Miss the Forest for the Trees - A Holistic Approach for Explaining Missing Answers over Nested Data

Summary: Proposes a holistic, query-based explanation framework for missing answers over nested data, treating schema-modifying operators as potential causes. A heuristic uses multiple schema alternatives and iterative re-validation to prune non-contributing intermediates, enabling scalable Spark-based explanations that outperform prior work. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6141
Venue
SIGMOD
Year
2021
Pagerank
4.6768157e-05
Overall Rank
7,678 | 46.64%
DOI
10.1145/3448016.3457249

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Showing 17 of 17 cited papers.

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

Rank Cited Paper Year Venue Pagerank
383 COMA - A system for flexible combination of schema matching approaches 2002 VLDB 0.00024802484
487 Why Not? 2009 SIGMOD 0.00022030123
547 Schema-Free XQuery 2004 VLDB 0.00020372992
968 Schema and Ontology Matching with COMA++ 2005 SIGMOD 0.00014941789
1,124 How to ConQueR Why-Not Questions 2010 SIGMOD 0.00013832959
1,441 Provenance for Generalized Map and Reduce Workflows 2011 CIDR 0.00011950114
2,031 Putting Lipstick on Pig: Enabling Database-style Workflow Provenance 2012 VLDB 9.7341007e-05
2,280 Generating Targeted Queries for Database Testing 2008 SIGMOD 9.1247368e-05
2,990 FastQRE: Fast Query Reverse Engineering 2018 SIGMOD 7.7727915e-05
3,302 RTED: A Robust Algorithm for the Tree Edit Distance 2012 VLDB 7.2445358e-05
3,668 Reverse Engineering Aggregation Queries 2017 VLDB 6.8581987e-05
3,684 SPARQLByE: Querying RDF data by example 2016 VLDB 6.8399983e-05
5,275 Annotated XML: Queries and Provenance 2008 PODS 5.5908918e-05
6,675 Exploiting Common Patterns for Tree-Structured Data 2017 SIGMOD 4.9615691e-05
6,974 NLProveNAns: Natural Language Provenance for Non-Answers 2018 VLDB 4.8725777e-05
8,228 You Say 'What', I Hear 'Where' and 'Why' - (Mis-)Interpreting SQL to Derive Fine-Grained Provenance 2018 VLDB 4.549777e-05
9,851 Adaptive Schema Databases 2017 CIDR 4.2680295e-05
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