Foundations of deductive databases and logic programming
Foundations of deductive databases and logic programming
Consistent query answers in inconsistent databases
PODS '99 Proceedings of the eighteenth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Data integration: a theoretical perspective
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Inconsistency Tolerance (Lecture Notes in Computer Science)
Inconsistency Tolerance (Lecture Notes in Computer Science)
The INFOMIX system for advanced integration of incomplete and inconsistent data
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
The DLV system for knowledge representation and reasoning
ACM Transactions on Computational Logic (TOCL)
Experimenting with recursive queries in database and logic programming systems
Theory and Practice of Logic Programming
Enhancing a DLP System for Advanced Database Applications
RR '08 Proceedings of the 2nd International Conference on Web Reasoning and Rule Systems
Logic programs for consistently querying data integration systems
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Minimal-change integrity maintenance using tuple deletions
Information and Computation
A 25-year perspective on logic programming
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The task of an information integration system is to combine data residing at different sources, providing the user with a unified view of them, called global schema . Simple data integration scenarios have been widely studied and efficient systems are already available. However, when some constraints are imposed on the quality of the global data, the integration process becomes difficult and, often, it may provide ambiguous results. Important research efforts have been spent in this area, but no actual system efficiently implementing the corresponding techniques is available yet. This paper is intended to be a step forward in this direction; it proposes a new data integration system, based on Answer Set Programming (ASP) and many optimizations, allowing to carry out consistent query answering (CQA) over massive amounts of data.