Knowledge-Based Reasoning Through Stigmergic Linking

K Greer, Matthias Baumgarten, Maurice Mulvenna, Christopher Nugent, K Curran

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Citations (Scopus)

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.
LanguageEnglish
Title of host publicationSelf-Organizing Systems
EditorsDavid Hutchison, Randy H Katz
Pages240-254
Publication statusPublished - 2007

Fingerprint

Engines
Sensors

Cite this

Greer, K., Baumgarten, M., Mulvenna, M., Nugent, C., & Curran, K. (2007). Knowledge-Based Reasoning Through Stigmergic Linking. In D. Hutchison, & R. H. Katz (Eds.), Self-Organizing Systems (pp. 240-254)
Greer, K ; Baumgarten, Matthias ; Mulvenna, Maurice ; Nugent, Christopher ; Curran, K. / Knowledge-Based Reasoning Through Stigmergic Linking. Self-Organizing Systems. editor / David Hutchison ; Randy H Katz. 2007. pp. 240-254
@inbook{01cebe028026464bb0672a50164db112,
title = "Knowledge-Based Reasoning Through Stigmergic Linking",
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.",
author = "K Greer and Matthias Baumgarten and Maurice Mulvenna and Christopher Nugent and K Curran",
year = "2007",
language = "English",
isbn = "978-3-540-74916-5",
pages = "240--254",
editor = "David Hutchison and Katz, {Randy H}",
booktitle = "Self-Organizing Systems",

}

Greer, K, Baumgarten, M, Mulvenna, M, Nugent, C & Curran, K 2007, Knowledge-Based Reasoning Through Stigmergic Linking. in D Hutchison & RH Katz (eds), Self-Organizing Systems. pp. 240-254.

Knowledge-Based Reasoning Through Stigmergic Linking. / Greer, K; Baumgarten, Matthias; Mulvenna, Maurice; Nugent, Christopher; Curran, K.

Self-Organizing Systems. ed. / David Hutchison; Randy H Katz. 2007. p. 240-254.

Research output: Chapter in Book/Report/Conference proceedingChapter

TY - CHAP

T1 - Knowledge-Based Reasoning Through Stigmergic Linking

AU - Greer, K

AU - Baumgarten, Matthias

AU - Mulvenna, Maurice

AU - Nugent, Christopher

AU - Curran, K

PY - 2007

Y1 - 2007

N2 - 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.

AB - 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.

M3 - Chapter

SN - 978-3-540-74916-5

SP - 240

EP - 254

BT - Self-Organizing Systems

A2 - Hutchison, David

A2 - Katz, Randy H

ER -

Greer K, Baumgarten M, Mulvenna M, Nugent C, Curran K. Knowledge-Based Reasoning Through Stigmergic Linking. In Hutchison D, Katz RH, editors, Self-Organizing Systems. 2007. p. 240-254