Foundations of logic programming; (2nd extended ed.)
Foundations of logic programming; (2nd extended ed.)
Consistent query answers in inconsistent databases
PODS '99 Proceedings of the eighteenth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Preferred answer sets for extended logic programs
Artificial Intelligence
Prioritized logic programming and its application to commonsense reasoning
Artificial Intelligence
Foundations of Databases: The Logical Level
Foundations of Databases: The Logical Level
Enhancing Disjunctive Datalog by Constraints
IEEE Transactions on Knowledge and Data Engineering
A Logical Framework for Querying and Repairing Inconsistent Databases
IEEE Transactions on Knowledge and Data Engineering
Logical foundations of peer-to-peer data integration
PODS '04 Proceedings of the twenty-third ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
The DLV system for knowledge representation and reasoning
ACM Transactions on Computational Logic (TOCL)
Integrating and Querying P2P Deductive Databases
IDEAS '06 Proceedings of the 10th International Database Engineering and Applications Symposium
Queries and updates in the coDB peer to peer database system
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Inconsistency tolerance in P2P data integration: An epistemic logic approach
Information Systems
The semantics of consistency and trust in peer data exchange systems
LPAR'07 Proceedings of the 14th international conference on Logic for programming, artificial intelligence and reasoning
Query answering in peer-to-peer data exchange systems
EDBT'04 Proceedings of the 2004 international conference on Current Trends in Database Technology
Aggregates and priorities in P2P data management systems
Proceedings of the 15th Symposium on International Database Engineering & Applications
Handling preferences in p2p systems
FoIKS'12 Proceedings of the 7th international conference on Foundations of Information and Knowledge Systems
Restoring consistency in p2p deductive databases
SUM'12 Proceedings of the 6th international conference on Scalable Uncertainty Management
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This paper investigates the data exchange problem among distributed independent sources. It is based on previous works in [9,10] in which a (declarative) semantics for P2P systems. In this semantics only facts not making the local databases inconsistent are imported Weak Models, and the Preferred Weak Models are those in which peers import maximal sets of facts not violating integrity constraints. The framework proposed in [9,10] does not provide any mechanism to set priorities among mapping rules. Anyhow, while collecting data it is quite natural for a source peer to associate different degrees of reliability to the portion of data provided by its neighbor peers. Starting from this observation, this paper enhances previous semantics by using priority levels among mapping rules in order to select the weak models containing a maximum number of mapping atoms according to their importance. We will call these weak models, Trusted Weak Models and we will show they can be computed as stable models of a logic program with weak constraints.