Incomplete Information in Relational Databases
Journal of the ACM (JACM)
Supporting Fine-grained Data Lineage in a Database Visualization Environment
ICDE '97 Proceedings of the Thirteenth International Conference on Data Engineering
Lineage Tracing for General Data Warehouse Transformations
Proceedings of the 27th International Conference on Very Large Data Bases
RoadRunner: Towards Automatic Data Extraction from Large Web Sites
Proceedings of the 27th International Conference on Very Large Data Bases
MYSTIQ: a system for finding more answers by using probabilities
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
DBNotes: a post-it system for relational databases based on provenance
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Efficient Batch Top-k Search for Dictionary-based Entity Recognition
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
To search or to crawl?: towards a query optimizer for text-centric tasks
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Managing information extraction: state of the art and research directions
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
ULDBs: databases with uncertainty and lineage
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Proceedings of the twenty-sixth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
On the updatability of relational views
VLDB '78 Proceedings of the fourth international conference on Very Large Data Bases - Volume 4
An annotation management system for relational databases
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Building structured web community portals: a top-down, compositional, and incremental approach
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Declarative information extraction using datalog with embedded extraction predicates
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
A relational approach to incrementally extracting and querying structure in unstructured data
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Toward best-effort information extraction
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Optimizing SQL Queries over Text Databases
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 3
Consistent query answering: five easy pieces
ICDT'07 Proceedings of the 11th international conference on Database Theory
Information extraction challenges in managing unstructured data
ACM SIGMOD Record
Efficiently incorporating user feedback into information extraction and integration programs
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Artemis: a system for analyzing missing answers
Proceedings of the VLDB Endowment
How to ConQueR why-not questions
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
I4E: interactive investigation of iterative information extraction
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Domain adaptation of rule-based annotators for named-entity recognition tasks
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
The complexity of causality and responsibility for query answers and non-answers
Proceedings of the VLDB Endowment
Explaining missing answers to SPJUA queries
Proceedings of the VLDB Endowment
Automatic rule refinement for information extraction
Proceedings of the VLDB Endowment
The Foundations for Provenance on the Web
Foundations and Trends in Web Science
A quest for beauty and wealth (or, business processes for database researchers)
Proceedings of the thirtieth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Provenance for aggregate queries
Proceedings of the thirtieth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Tracing data errors with view-conditioned causality
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
Building a generic debugger for information extraction pipelines
Proceedings of the 20th ACM international conference on Information and knowledge management
Diagnosing faults in embedded queries in database applications
Proceedings of the 2012 Joint EDBT/ICDT Workshops
The nautilus analyzer: understanding and debugging data transformations
Proceedings of the 21st ACM international conference on Information and knowledge management
User feedback based query refinement by exploiting skyline operator
ER'12 Proceedings of the 31st international conference on Conceptual Modeling
International Journal of Systems and Service-Oriented Engineering
Certain and possible XPath answers
Proceedings of the 16th International Conference on Database Theory
A framework for query refinement with user feedback
Journal of Systems and Software
On modeling query refinement by capturing user intent through feedback
ADC '12 Proceedings of the Twenty-Third Australasian Database Conference - Volume 124
Compact explanation of data fusion decisions
Proceedings of the 22nd international conference on World Wide Web
Wondering why data are missing from query results?: ask conseil why-not
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Big data challenge: a data management perspective
Frontiers of Computer Science: Selected Publications from Chinese Universities
Answering why-not queries in software-defined networks with negative provenance
Proceedings of the Twelfth ACM Workshop on Hot Topics in Networks
Reasoning about explanations for negative query answers in DL-lite
Journal of Artificial Intelligence Research
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In information extraction, uncertainty is ubiquitous. For this reason, it is useful to provide users querying extracted data with explanations for the answers they receive. Providing the provenance for tuples in a query result partially addresses this problem, in that provenance can explain why a tuple is in the result of a query. However, in some cases explaining why a tuple is not in the result may be just as helpful. In this work we focus on providing provenance-style explanations for non-answers and develop a mechanism for providing this new type of provenance. Our experience with an information extraction prototype suggests that our approach can provide effective provenance information that can help a user resolve their doubts over non-answers to a query.