Equi-depth multidimensional histograms
SIGMOD '88 Proceedings of the 1988 ACM SIGMOD international conference on Management of data
Consistent query answers in inconsistent databases
PODS '99 Proceedings of the eighteenth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Why and Where: A Characterization of Data Provenance
ICDT '01 Proceedings of the 8th International Conference on Database Theory
Simple Random Sampling from Relational Databases
VLDB '86 Proceedings of the 12th International Conference on Very Large Data Bases
Evaluating probabilistic queries over imprecise data
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
ACM Transactions on Database Systems (TODS)
A cost-based model and effective heuristic for repairing constraints by value modification
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
ConQuer: efficient management of inconsistent databases
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Minimal-change integrity maintenance using tuple deletions
Information and Computation
Database repairing using updates
ACM Transactions on Database Systems (TODS)
High-performance complex event processing over streams
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Online outlier detection in sensor data using non-parametric models
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Probabilistic skylines on uncertain data
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Improving data quality: consistency and accuracy
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Probabilistic ranked queries in uncertain databases
EDBT '08 Proceedings of the 11th international conference on Extending database technology: Advances in database technology
Monochromatic and bichromatic reverse skyline search over uncertain databases
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Dependencies revisited for improving data quality
Proceedings of the twenty-seventh ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Access Methods for Markovian Streams
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
Efficient join processing on uncertain data streams
Proceedings of the 18th ACM conference on Information and knowledge management
Consistent query answers in inconsistent probabilistic databases
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Declarative support for sensor data cleaning
PERVASIVE'06 Proceedings of the 4th international conference on Pervasive Computing
Probabilistic similarity join on uncertain data
DASFAA'06 Proceedings of the 11th international conference on Database Systems for Advanced Applications
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With the advent of the Internet of Things (IoT) that offers capabilities to identify and connect worldwide physical objects into a unified system, the importance of modeling and processing IoT data has become significantly accentuated. IoT data is substantial in quantity, noisy, heterogeneous, inconsistent, and arrives at the system in a streaming fashion. Due to the unique characteristics of IoT data, the manipulation of IoT data for practical applications has encountered many fundamental challenging problems, such as data modeling and processing. This paper proposes the infrastructure for an IoT prototype system that aims to develop foundation models for IoT data. We illustrate major modules in the IoT prototype, as well as their functionalities, and provide our vision of the key techniques used for tacking the critical problems in each module.