HANDLING SEMANTIC INCONSISTENCIES IN QUERY ANSWERING BASED ON DISTRIBUTED KNOWLEDGE MINING
Zbigniew W. Raś, Agnieszka Dardzińska · International Journal of Pattern Recognition and Artificial Intelligence · 2002
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 cannot handle. Query posed to a database D is global if a minimum of its attributes is missing in D while it occurs in other databases. 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.