Wolfgang Gatterbauer

Orcid: 0000-0002-9614-0504

Affiliations:
  • Northeastern University, Boston, MA, USA
  • University of Washington, Seattle, Washington, USA (former)


According to our database1, Wolfgang Gatterbauer authored at least 80 papers between 2005 and 2024.

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Bibliography

2024
Ranked Enumeration for Database Queries.
SIGMOD Rec., September, 2024

On The Reasonable Effectiveness of Relational Diagrams: Explaining Relational Query Patterns and the Pattern Expressiveness of Relational Languages.
Proc. ACM Manag. Data, February, 2024

Minimally Factorizing the Provenance of Self-join Free Conjunctive Queries.
Proc. ACM Manag. Data, 2024

A Comprehensive Tutorial on Over 100 Years of Diagrammatic Representations of Logical Statements and Relational Queries.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

HITSnDIFFs: From Truth Discovery to Ability Discovery by Recovering Matrices with the Consecutive Ones Property.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023
A Unified Approach for Resilience and Causal Responsibility with Integer Linear Programming (ILP) and LP Relaxations.
Proc. ACM Manag. Data, December, 2023

DomainNet: Homograph Detection and Understanding in Data Lake Disambiguation.
ACM Trans. Database Syst., September, 2023

Tractable Orders for Direct Access to Ranked Answers of Conjunctive Queries.
ACM Trans. Database Syst., March, 2023

A Tutorial on Visual Representations of Relational Queries.
Proc. VLDB Endow., 2023

SANTOS: Relationship-based Semantic Table Union Search.
Proc. ACM Manag. Data, 2023

Towards Unbiased Exploration in Partial Label Learning.
CoRR, 2023

Efficient Computation of Quantiles over Joins.
Proceedings of the 42nd ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, 2023

2022
STRATISFIMAL LAYOUT: A modular optimization model for laying out layered node-link network visualizations.
IEEE Trans. Vis. Comput. Graph., 2022

Integrating Data Lake Tables.
Proc. VLDB Endow., 2022

Principles of Query Visualization.
IEEE Data Eng. Bull., 2022

Any-k Algorithms for Enumerating Ranked Answers to Conjunctive Queries.
CoRR, 2022

Relational Diagrams: a pattern-preserving diagrammatic representation of non-disjunctive Relational Queries.
CoRR, 2022

Algebraic Approximations of the Probability of Monotone Boolean Functions.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics 2022 (ISAIM 2022), 2022

Toward Responsive DBMS: Optimal Join Algorithms, Enumeration, Factorization, Ranking, and Dynamic Programming.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021
Beyond Equi-joins: Ranking, Enumeration and Factorization.
Proc. VLDB Endow., 2021

Towards a Dichotomy for Minimally Factorizing the Provenance of Self-Join Free Conjunctive Queries.
CoRR, 2021

DomainNet: Homograph Detection for Data Lake Disambiguation.
Proceedings of the 24th International Conference on Extending Database Technology, 2021

2020
Optimal Algorithms for Ranked Enumeration of Answers to Full Conjunctive Queries.
Proc. VLDB Endow., 2020

Optimal Join Algorithms Meet Top-k.
Proceedings of the 2020 International Conference on Management of Data, 2020

Factorized Graph Representations for Semi-Supervised Learning from Sparse Data.
Proceedings of the 2020 International Conference on Management of Data, 2020

Near-Optimal Distributed Band-Joins through Recursive Partitioning.
Proceedings of the 2020 International Conference on Management of Data, 2020

QueryVis: Logic-based Diagrams help Users Understand Complicated SQL Queries Faster.
Proceedings of the 2020 International Conference on Management of Data, 2020

New Results for the Complexity of Resilience for Binary Conjunctive Queries with Self-Joins.
Proceedings of the 39th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, 2020

2019
Guest Editors' Introduction to the Special Section on the 33rd International Conference on Data Engineering (ICDE 2017).
IEEE Trans. Knowl. Data Eng., 2019

Algorithms for automatic ranking of participants and tasks in an anonymized contest.
Theor. Comput. Sci., 2019

Anytime Approximation in Probabilistic Databases via Scaled Dissociations.
Proceedings of the 2019 International Conference on Management of Data, 2019

2018
Web Harvesting.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Web Data Extraction System.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Learning From Query-Answers: A Scalable Approach to Belief Updating and Parameter Learning.
ACM Trans. Database Syst., 2018

A General Framework for Anytime Approximation in Probabilistic Databases.
CoRR, 2018

Any-k: Anytime Top-k Tree Pattern Retrieval in Labeled Graphs.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Dissociation-Based Oblivious Bounds for Weighted Model Counting.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Any-k Algorithms for Exploratory Analysis with Conjunctive Queries.
Proceedings of the 5th International Workshop on Exploratory Search in Databases and the Web, 2018

PISTIS: A Conflict of Interest Declaration and Detection System for Peer Review Management.
Proceedings of the 2018 International Conference on Management of Data, 2018

2017
Dissociation and propagation for approximate lifted inference with standard relational database management systems.
VLDB J., 2017

Beta Probabilistic Databases: A Scalable Approach to Belief Updating and Parameter Learning.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Conflict of Interest Declaration and Detection System in Heterogeneous Networks.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

The Linearization of Belief Propagation on Pairwise Markov Random Fields.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2015
Approximate Lifted Inference with Probabilistic Databases.
Proc. VLDB Endow., 2015

Linearized and Single-Pass Belief Propagation.
Proc. VLDB Endow., 2015

The Complexity of Resilience and Responsibility for Self-Join-Free Conjunctive Queries.
Proc. VLDB Endow., 2015

Fault-Tolerant Entity Resolution with the Crowd.
CoRR, 2015

The Linearization of Pairwise Markov Networks.
CoRR, 2015

A Characterization of the Complexity of Resilience and Responsibility for Self-join-free Conjunctive Queries.
CoRR, 2015

2014
Oblivious bounds on the probability of boolean functions.
ACM Trans. Database Syst., 2014

Linearized and Turbo Belief Propagation.
CoRR, 2014

Semi-Supervised Learning with Heterophily.
CoRR, 2014

2013
Dissociation and Propagation for Efficient Query Evaluation over Probabilistic Databases.
CoRR, 2013

2012
Querying Provenance for Ranking and Recommending.
Proceedings of the 4th Workshop on the Theory and Practice of Provenance, 2012

2011
Reverse Data Management.
Proc. VLDB Endow., 2011

Databases will Visualize Queries too.
Proc. VLDB Endow., 2011

Optimal Upper and Lower Bounds for Boolean Expressions by Dissociation
CoRR, 2011

Bringing Provenance to Its Full Potential Using Causal Reasoning.
Proceedings of the 3rd Workshop on the Theory and Practice of Provenance, 2011

Default-all is dangerous!
Proceedings of the 3rd Workshop on the Theory and Practice of Provenance, 2011

Session-Based Browsing for More Effective Query Reuse.
Proceedings of the Scientific and Statistical Database Management, 2011

Tracing data errors with view-conditioned causality.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

QueryViz: helping users understand SQL queries and their patterns.
Proceedings of the EDBT 2011, 2011

Rules of Thumb for Information Acquisition from Large and Redundant Data.
Proceedings of the Advances in Information Retrieval, 2011

Managing Structured Collections of Community Data.
Proceedings of the Fifth Biennial Conference on Innovative Data Systems Research, 2011

2010
The Complexity of Causality and Responsibility for Query Answers and non-Answers.
Proc. VLDB Endow., 2010

Causality in Databases.
IEEE Data Eng. Bull., 2010

Visual structure-based web page clustering and retrieval.
Proceedings of the 19th International Conference on World Wide Web, 2010

Data conflict resolution using trust mappings.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

WHY SO? or WHY NO? Functional Causality for Explaining Query Answers.
Proceedings of the Fourth International VLDB workshop on Management of Uncertain Data (MUD 2010) in conjunction with VLDB 2010, 2010

Dissociation and Propagation for Efficient Query Evaluation over Probabilistic Databases.
Proceedings of the Fourth International VLDB workshop on Management of Uncertain Data (MUD 2010) in conjunction with VLDB 2010, 2010

2009
Web Harvesting.
Proceedings of the Encyclopedia of Database Systems, 2009

Web Data Extraction System.
Proceedings of the Encyclopedia of Database Systems, 2009

Believe It or Not: Adding Belief Annotations to Databases.
Proc. VLDB Endow., 2009

Integrating and Ranking Uncertain Scientific Data.
Proceedings of the 25th International Conference on Data Engineering, 2009

A Case for A Collaborative Query Management System.
Proceedings of the Fourth Biennial Conference on Innovative Data Systems Research, 2009

2007
Towards domain-independent information extraction from web tables.
Proceedings of the 16th International Conference on World Wide Web, 2007

Creating Permanent Test Collections of Web Pages for Information Extraction Research.
Proceedings of the SOFSEM 2007: Theory and Practice of Computer Science, 2007

2006
Estimating required recall for successful knowledge acquisition from the web.
Proceedings of the 15th international conference on World Wide Web, 2006

Table Extraction Using Spatial Reasoning on the CSS2 Visual Box Model.
Proceedings of the Proceedings, 2006

2005
Using visual cues for extraction of tabular data from arbitrary HTML documents.
Proceedings of the 14th international conference on World Wide Web, 2005


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