International Journal of Man-Machine Studies
Mining for Attribute Definitions in a DistributedTwo-Layered DB System
Journal of Intelligent Information Systems - Special issue on methodologies for intelligent information systems
Ontological Engineering: Foundation of the Next Generation Knowledge Processing
WI '01 Proceedings of the First Asia-Pacific Conference on Web Intelligence: Research and Development
Discovery of Equations and the Shared Operational Semantics in Distributed Autonomous Databases
PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining
Multi-granularity classification rule discovery using ERID
RSKT'08 Proceedings of the 3rd international conference on Rough sets and knowledge technology
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Traditional query processing provides exact answers to queries. In this paper, we introduce, so called, non-local queries which allow us to use attributes outside the local domain. Definitions of these attributes, if only exist, can be extractedfrom databases at other sites. Before, these definitions can be locally applied, problems related to their different semantics have to be resolved first. Rough-ontology is one of the possible tools which can be usedhere quite successfully to tackle the problem. We introduce a tree-resolution for a non-local query which helps us to identify all steps which should be followed to replace a nonlocal query by a semantically similar local one.