Declarative-knowledge-based reconfiguration of automation systems using a blackboard architecture

Research output: Chapter in Book/Report/Conference proceedingBook chapterpeer-review

12 Citations (SciVal)


This article describes results of the work on knowledge representation techniques chosen for use in the European project SIARAS (Skill-Based Inspection and Assembly for Reconfigurable Automation Systems). Its goal was to create intelligent support system for reconfiguration and adaptation of robot-based manufacturing cells. Declarative knowledge is represented first of all in an ontology expressed in OWL, for a generic taxonomical reasoning, and in a number of special-purpose reasoning modules, specific for the application domain. The domain/dependent modules are organized in a blackboard-like architecture.
Original languageEnglish
Title of host publicationEleventh Scandinavian Conference on Artificial Intelligence
EditorsAnders Kofod-Petersen, Fredrik Heintz, Helge Langseth
PublisherIOS Press
ISBN (Print)978-1-60750-753-6, 978-1-60750-754-3
Publication statusPublished - 2011

Publication series


Subject classification (UKÄ)

  • Computer Science


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