HANDLING SEMANTIC INCONSISTENCIES IN QUERY ANSWERING BASED ON DISTRIBUTED KNOWLEDGE MINING

Abstract

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.