Ontology-based distributed autonomous knowledge systems

  • Authors:

  • Zbigniew W. Raś;Agnieszka Dardzińska

  • Affiliations:

  • Department of Computer Science, University of North Carolina, Charlotte, NC and Polish Academy of Sciences, Institute of Computer Science, Ordona 21, 01-237 Warsaw, Poland;Department of Mathematics, Bialystok University of Technology, Wiejska 45 A, 15-351 Bialystok, Poland

  • Venue:
  • Information Systems - Special issue on web data integration
  • Year:
  • 2004

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Abstract

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.