Merging structured text using temporal knowledge
Data & Knowledge Engineering
Logical fusion rules for merging structured news reports
Data & Knowledge Engineering
Property-Based Semantic Reconciliation of Heterogeneous Information Sources
ER '02 Proceedings of the 21st International Conference on Conceptual Modeling
Data Management Challenges and Development for Military Information Systems
IEEE Transactions on Knowledge and Data Engineering
Ontologies for semantically interoperable systems
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Ontologies for corporate web applications
AI Magazine
Fusion rules for merging uncertain information
Information Fusion
A knowledge-based approach to merging information
Knowledge-Based Systems
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Semantic interoperability is a growing challenge in the United States Department of Defense (DoD). In this paper, we describe the basis of an infrastructure for the reconciliation of relevant, but semantically heterogeneous attribute values. Three types of information are described which can be used to infer the context of attributes, making explicit hidden semantic conflicts and making it possible to adjust values appropriately. Through an extended example, we show how an automated integration agent can derive the transformations necessary to perform four tasks in a simple semantic reconciliation.