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Exploring Exploratory Querying

Summary: Argues that query formulation is an exploratory, iterative design-debug-maintain cycle, supported by an empirical analysis of Wikidata Query Service logs that exposes common iterative modification patterns. Contributes a curated query-session dataset, a taxonomy of patterns, and a research roadmap for languages, engines, interfaces, and user studies to enable system-level support for exploratory querying. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
14405
Venue
VLDB
Year
2025
Pagerank
5.093636e-05
Overall Rank
11,084 | 23.96%
DOI
10.14778/3773731.3773746

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@article{arenas_vldb25,
        title = {{Exploring Exploratory Querying}},
        author = {Arenas, Marcelo and Franconi, Enrico and Hammerer, Janik and Hartig, Olaf and Hose, Katja and Koesten, Laura and Konstantinidis, George and Libkin, Leonid and Martens, Wim and Sasaki, Yuya and Scherzinger, Stefanie and Thornton, Katherine and Wu, Hsiang-Yun},
        journal = {PVLDB},
        series = {{VLDB} '25},
        volume = {18},
        number = {13},
        pages = {5731--5739},
        doi = {10.14778/3773731.3773746},
        url = {https://doi.org/10.14778/3773731.3773746},
        year = {2025}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

Showing 26 of 26 cited papers.

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

Rank Cited Paper Year Venue Pagerank
18 How Good Are Query Optimizers, Really? 2016 VLDB 0.00059284255
380 On Saying "Enough Already!" in SQL 1997 SIGMOD 0.00019563191
530 An Analytical Study of Large SPARQL Query Logs 2018 VLDB 0.0001709169
986 Effortless Data Exploration with zenvisage: An Expressive and Interactive Visual Analytics System 2017 VLDB 0.0001281777
1,198 Overview of Data Exploration Techniques 2015 SIGMOD 0.00011706307
1,392 Northstar: An Interactive Data Science System 2018 VLDB 0.00010936065
1,702 Schema Summarization 2006 VLDB 9.9697258e-05
1,767 IDEBench: A Benchmark for Interactive Data Exploration 2020 SIGMOD 9.805856e-05
1,928 Relations with Relation Names as Arguments: Algebra and Calculus 1992 PODS 9.4692029e-05
2,242 CHORUS: Foundation Models for Unified Data Discovery and Exploration 2024 VLDB 8.8823802e-05
4,367 SQL Has Problems. We Can Fix Them: Pipe Syntax In SQL 2024 VLDB 6.7395125e-05
4,721 QueryVis: Logic-based Diagrams help Users Understand Complicated SQL Queries Faster 2020 SIGMOD 6.5444379e-05
4,789 Learned Approximate Query Processing: Make it Light, Accurate and Fast 2021 CIDR 6.5072039e-05
6,090 Scalable Query Rewriting: A Graph-Based Approach 2011 SIGMOD 5.9796288e-05
7,041 DiscoPG: Property Graph Schema Discovery and Exploration 2022 VLDB 5.7194994e-05
7,327 Reducing Ambiguity in Json Schema Discovery 2021 SIGMOD 5.6435519e-05
7,335 Reservoir Sampling over Joins 2024 SIGMOD 5.64193e-05
7,472 AutoG: A Visual Query Autocompletion Framework for Graph Databases 2016 VLDB 5.6093965e-05
7,614 I-Rex: An Interactive Relational Query Explainer for SQL 2020 VLDB 5.5815004e-05
8,407 On The Reasonable Effectiveness of Relational Diagrams: Explaining Relational Query Patterns and the Pattern Expressiveness of Relational Languages 2024 SIGMOD 5.4312823e-05
8,632 gCore: Exploring Cross-layer Cohesiveness in Multi-layer Graphs 2023 VLDB 5.3964804e-05
8,843 Cache Me If You Can: Accuracy-Aware Inference Engine for Differentially Private Data Exploration 2023 VLDB 5.3589295e-05
9,009 Efficient Approximations of Conjunctive Queries 2012 PODS 5.3335287e-05
9,293 Intelligent Agents for Data Exploration 2024 VLDB 5.2907112e-05
9,893 ReCG: Bottom-Up JSON Schema Discovery Using a Repetitive Cluster-and-Generalize Framework 2024 VLDB 5.1997534e-05
9,961 Threshold Queries in Theory and in the Wild 2022 VLDB 5.1879626e-05
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