Updating and Querying Databases that Track Mobile Units
Distributed and Parallel Databases - Special issue on mobile data management and applications
Evaluating probabilistic queries over imprecise data
Proceedings of the 2003 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
Energy and quality aware query processing in wireless sensor database systems
Information Sciences: an International Journal
Management of data with uncertainties
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Probabilistic ranked queries in uncertain databases
EDBT '08 Proceedings of the 11th international conference on Extending database technology: Advances in database technology
MCDB: a monte carlo approach to managing uncertain data
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Orion 2.0: native support for uncertain data
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Quality Measures in Uncertain Data Management
SUM '07 Proceedings of the 1st international conference on Scalable Uncertainty Management
Optimization of Queries over Interval Probabilistic Data
SUM '08 Proceedings of the 2nd international conference on Scalable Uncertainty Management
Top-k dominating queries in uncertain databases
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
Probabilistic Inverse Ranking Queries over Uncertain Data
DASFAA '09 Proceedings of the 14th International Conference on Database Systems for Advanced Applications
Towards Relational Schema Uncertainty
SUM '09 Proceedings of the 3rd International Conference on Scalable Uncertainty Management
Qualitative effects of knowledge rules and user feedback in probabilistic data integration
The VLDB Journal — The International Journal on Very Large Data Bases
Representing uncertain data: models, properties, and algorithms
The VLDB Journal — The International Journal on Very Large Data Bases
The VLDB Journal — The International Journal on Very Large Data Bases
Reverse skyline search in uncertain databases
ACM Transactions on Database Systems (TODS)
A Survey on Uncertainty Management in Data Integration
Journal of Data and Information Quality (JDIQ)
Leveraging spatio-temporal redundancy for RFID data cleansing
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Consistent query answers in inconsistent probabilistic databases
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
US-SQL: managing uncertain schemata
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Set similarity join on probabilistic data
Proceedings of the VLDB Endowment
Efficient and effective similarity search over probabilistic data based on earth mover's distance
Proceedings of the VLDB Endowment
Foundations of uncertain-data integration
Proceedings of the VLDB Endowment
Probabilistic data: a tiny survey
SUM'10 Proceedings of the 4th international conference on Scalable uncertainty management
Probabilistic inverse ranking queries in uncertain databases
The VLDB Journal — The International Journal on Very Large Data Bases
Efficient query answering in probabilistic RDF graphs
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
Querying uncertain data with aggregate constraints
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
The monte carlo database system: Stochastic analysis close to the data
ACM Transactions on Database Systems (TODS)
RFID enabled traceability networks: a survey
Distributed and Parallel Databases
Cost-efficient repair in inconsistent probabilistic databases
Proceedings of the 20th ACM international conference on Information and knowledge management
Probabilistic top-k dominating queries in uncertain databases
Information Sciences: an International Journal
Causality and responsibility: probabilistic queries revisited in uncertain databases
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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In many systems, sensors are used to acquire information from external environments such as temperature, pressure and locations. Due to continuous changes in these values, and limited resources (e.g., network bandwidth and battery power), it is often infeasible for the database to store the exact values at all times. Queries that uses these old values can produce invalid results. In order to manage the uncertainty between the actual sensor value and the database value, we propose a system called U-DBMS. U-DBMS extends the database system with uncertainty management functionalities. In particular, each data value is represented as an interval and a probability distribution function, and it can be processed with probabilistic query operators to produce imprecise (but correct) answers. This demonstration presents a PostgreSQL-based system that handles uncertainty and probabilistic queries for constantly-evolving data.