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Knowledge-Based Reasoning Through Stigmergic Linking

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Greer, K, Baumgarten, Matthias, Mulvenna, Maurice, Nugent, Christopher and Curran, K (2007) Knowledge-Based Reasoning Through Stigmergic Linking. In: Self-Organizing Systems. (Eds: Hutchison, David and Katz , Randy H), Springer, pp. 240-254. ISBN 978-3-540-74916-5 [Book section]

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Abstract

A knowledge network is a generic structure that organises distributed knowledge of any format into a system that will allow it to be efficiently retrieved. The primary features of this network are its lightweight autonomous framework. The framework allows for smaller components such as pervasive sensors to operate. Stigmergy is thus the preferred method to allow the network to self-organise and maintain itself. To be able to return knowledge, the network must be able to reason over its stored information. As part of the query process, links can be stigmergically created between related sources to allow for query optimisation. This has been proven to be an effective and lightweight way to optimise. These links may also contain useful information for providing knowledge. This paper considers a number of possibilities for using these links to return knowledge through a distributed lightweight reasoning engine, thus upholding the main features of the network.

Item Type:Book section
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
ID Code:11245
Deposited By:Professor Maurice Mulvenna
Deposited On:22 Mar 2010 16:49
Last Modified:22 Mar 2010 16:49

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