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 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.
Keywords
- Remote Site
- Disjunctive Normal Form
- Local Query
- Distribute Information System
- Incomplete Information System
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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© 2002 Springer-Verlag Berlin Heidelberg
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Raś, Z.W., Dardzińska, A. (2002). Handling Semantic Inconsistencies in Distributed Knowledge Systems Using Ontologies. In: Hacid, MS., Raś, Z.W., Zighed, D.A., Kodratoff, Y. (eds) Foundations of Intelligent Systems. ISMIS 2002. Lecture Notes in Computer Science(), vol 2366. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48050-1_9
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DOI: https://doi.org/10.1007/3-540-48050-1_9
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