Query caching and optimization in distributed mediator systems
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Explicit Representation of Constrained Schema Mappings for Mediated Data Integration
DNIS '02 Proceedings of the Second International Workshop on Databases in Networked Information Systems
Complex relationships and knowledge discovery support in the InfoQuilt system
The VLDB Journal — The International Journal on Very Large Data Bases
Using methods of declarative logic programming for intelligent information agents
Theory and Practice of Logic Programming
Quality-driven geospatial data integration
Proceedings of the 15th annual ACM international symposium on Advances in geographic information systems
Failed-tuple triggered blocking strategy for managing near real-time spatial data replication
Proceedings of the 1st International Conference and Exhibition on Computing for Geospatial Research & Application
Modeling cooperation in multi-agent communities
Cognitive Systems Research
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Integrating knowledge from multiple sources is an important aspect of automated reasoning systems. Wiederhold and his colleagues (1993) have proposed the concept of a mediator-a device that will express how such an integration is to be achieved. In (1994) Subrahmanian et al. presented a uniform declarative and operational framework for mediators for amalgamating multiple knowledge bases and data structures (e.g. relational, object-oriented, spatial, and temporal structures) when these knowledge bases (possibly) contain inconsistencies, uncertainties, and nonmonotonic modes of negation. We specify the programming environment for this framework and show that it can be used to extract and integrate information obtained from different sources of data and resolve conflicts. We also show that it can be extended easily to integrate new knowledge bases.