Abstract
In this paper, we discuss the need for a hybrid reasoning approach to handing Semantic Web (SW) data and explain why we believe that the Blackboard Architecture is particularly suitable. We describe how we have utilised it for coordinating a combination of ontological inference, rules and constraint based reasoning within a SW context.
After describing the metaphor on which the Blackboard Architecture is based we introduce its key components: the blackboard Panels containing the solution space facts and problem related goals and sub-goals; the differing behaviours of the associated Knowledge Sources and how they interact with the blackboard; and, finally, the Controller and how it manages and focuses the problem solving effort.
To help clarify, we use our test-bed system, the AKTive Workgroup Builder and Blackboard (AWB+B) to explain some of the issues and problems encountered when implementing a SW Blackboard System in a problem oriented context.
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© 2006 Springer-Verlag Berlin Heidelberg
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McKenzie, C., Preece, A., Gray, P. (2006). Semantic Web Reasoning Using a Blackboard System. In: Alferes, J.J., Bailey, J., May, W., Schwertel, U. (eds) Principles and Practice of Semantic Web Reasoning. PPSWR 2006. Lecture Notes in Computer Science, vol 4187. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11853107_15
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DOI: https://doi.org/10.1007/11853107_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-39586-7
Online ISBN: 978-3-540-39587-4
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