International Journal of Man-Machine Studies
Query approximate answering system for an incomplete DKBS
Fundamenta Informaticae - Special issue: 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
Abstraction of Representation for Interoperation
ISMIS '97 Proceedings of the 10th International Symposium on Foundations of Intelligent Systems
Ontology-based distributed autonomous knowledge systems
Information Systems - Special issue on web data integration
Cooperative discovery of interesting action rules
FQAS'06 Proceedings of the 7th international conference on Flexible Query Answering Systems
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Traditional query processing provides exact answers to queries. It usually requires that users fully understand the database structure and content to issue a query. Due to the complexity of the database applications, the so called global queries can be posed which traditional query answering systems can not handle. In this paper a query answering system based on distributed data mining is presented to rectify these problems. Task ontologies are used as a tool to handle semantic inconsistencies between sites.