Knowledge-driven Processes can be Managed

Debenham, JK

Knowledge-driven Processes can be Managed

Debenham, JK

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Publisher:: Springer-Verlag
Publication Type:: Conference Proceeding
Citation:: AI 2002: Advances in Artificial Intelligence, 2002, pp. 191 - 202
Issue Date:: 2002-01

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Field	Value	Language
dc.contributor.author	Debenham, JK	en_US
dc.contributor.editor	McKay, B	en_US
dc.contributor.editor	Slaney, J	en_US
dc.date	2002-12-02	en_US
dc.date.issued	2002-01	en_US
dc.identifier.citation	AI 2002: Advances in Artificial Intelligence, 2002, pp. 191 - 202	en_US
dc.identifier.isbn	3-540-00197-2	en_US
dc.identifier.uri	http://hdl.handle.net/10453/1880
dc.description.abstract	Knowledge-driven processes are business processes whose execution is determined by the prior knowledge of the agents involved and by the knowledge that emerges during a process instance. They are characteristic of emergent business processes. The amount of process knowledge that is relevant to a knowledge-driven process can be enormous and may include common sense knowledge. If a process knowledge can not be represented feasibly then that process can not be managed; although its execution may be partially supported. In an e-market domain, the majority of transactions, including requests for advice and information, are knowledge-driven processes for which the knowledge base is the Internet, and so representing the knowledge is not an issue. These processes are managed by a multiagent system that manages the extraction of knowledge from this base using a suite of data mining bots.	en_US
dc.publisher	Springer-Verlag	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP0211939
dc.relation.ispartof	AI 2002: Advances in Artificial Intelligence	en_US
dc.relation.ispartof	Australasian Joint Conference on Artificial Intelligence	en_US
dc.relation.isbasedon	10.1007/3-540-36187-1_17	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Knowledge-driven Processes can be Managed	en_US
dc.type	Conference Proceeding
utslib.location	Berlin	en_US
utslib.location.activity	Canberra, Australia	en_US
utslib.for	080105 Expert Systems	en_US
utslib.for	080101 Adaptive Agents and Intelligent Robotics	en_US
dc.location.activity	Canberra, Australia	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Software
pubs.organisational-group	/University of Technology Sydney/Strength - AAI - Advanced Analytics Institute Research Centre
utslib.copyright.status	closed_access
pubs.consider-herdc	true	en_US
pubs.place-of-publication	Berlin	en_US
pubs.start-date	2002-12-02	en_US

Abstract:

Knowledge-driven processes are business processes whose execution is determined by the prior knowledge of the agents involved and by the knowledge that emerges during a process instance. They are characteristic of emergent business processes. The amount of process knowledge that is relevant to a knowledge-driven process can be enormous and may include common sense knowledge. If a process knowledge can not be represented feasibly then that process can not be managed; although its execution may be partially supported. In an e-market domain, the majority of transactions, including requests for advice and information, are knowledge-driven processes for which the knowledge base is the Internet, and so representing the knowledge is not an issue. These processes are managed by a multiagent system that manages the extraction of knowledge from this base using a suite of data mining bots.

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http://hdl.handle.net/10453/1880