Distributed data warehouses - The role of adaptive information agents

N. T. Clapham; D. G. Green; M. Kirley

doi:10.1109/IECON.2000.972440

Distributed data warehouses - The role of adaptive information agents

N. T. Clapham, D. G. Green, M. Kirley

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

1 Citation (Scopus)

Abstract

One of the greatest challenges facing the information age is the discovery of relevant information. Current approaches to the problem fall short in several respects. We propose a scalable, self-organising model for online distributed data warehouses. The prime feature of the model is a population of adaptive agents, one per Web site. These agents produce reports by distributing elements of a query to appropriate resources or to other agents in the population, Queries are couched in a specialised scripting language, based on XML. Agents adapt by converting new queries into functions and by recording new resources.

Original language	English
Title of host publication	IECON Proceedings (Industrial Electronics Conference)
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	2792-2797
Number of pages	6
DOIs	https://doi.org/10.1109/IECON.2000.972440
Publication status	Published - Oct 2000
Externally published	Yes

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10.1109/IECON.2000.972440

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abstract = "One of the greatest challenges facing the information age is the discovery of relevant information. Current approaches to the problem fall short in several respects. We propose a scalable, self-organising model for online distributed data warehouses. The prime feature of the model is a population of adaptive agents, one per Web site. These agents produce reports by distributing elements of a query to appropriate resources or to other agents in the population, Queries are couched in a specialised scripting language, based on XML. Agents adapt by converting new queries into functions and by recording new resources.",

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AB - One of the greatest challenges facing the information age is the discovery of relevant information. Current approaches to the problem fall short in several respects. We propose a scalable, self-organising model for online distributed data warehouses. The prime feature of the model is a population of adaptive agents, one per Web site. These agents produce reports by distributing elements of a query to appropriate resources or to other agents in the population, Queries are couched in a specialised scripting language, based on XML. Agents adapt by converting new queries into functions and by recording new resources.

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BT - IECON Proceedings (Industrial Electronics Conference)

PB - IEEE, Institute of Electrical and Electronics Engineers

ER -

Distributed data warehouses - The role of adaptive information agents

Abstract

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