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Ontology-based distributed autonomous knowledge systems
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DOI：10.1016/S0306-4379(03)00033-4.png)
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Abstract
En 中文
Traditional query processing usually requires that users fully understand the database structure and content to issue a query. Due to the complexity of the database applications and the variety of user needs, the so-called global queries are introduced which traditional query answering systems cannot handle. Query posed to a database D is global if minimum one of its attributes is missing in D while it occurs in other databases. Definitions of a missing attribute in D can be extracted from other databases and shared with D, To handle semantics inconsistencies between the same attributes used at different sites, task ontologies are used as a communication bridge between them. These inconsistencies can be caused either by different granularity levels or by different interpretations of the same attribute. As the final outcome of this research, a rough query answering system based on distributed data mining is presented. (C) 2003 Elsevier Ltd. All rights reserved.
Keywords:
distributed autonomous knowledge systems
query processing
knowledge mining
ontologies
semantics inconsistencies
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