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A multi-agent based knowledge search methodology for product development

A multi-agent based knowledge search methodology for product development

Gao, James and Jian, Amanda (2007) A multi-agent based knowledge search methodology for product development. Proceedings of DET2007 4th International Conference on Digital Enterprise Technology Bath, United Kingdom 19-21 September 2007. University of Bath?, Bath.

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Abstract

The amount of information available via networks and databases brings forward the limited assistance of existing search and retrieval engines in locating relevant information that users need. Due to the rising demand for information retrieval, manufacturers employ various search techniques to provide a more satisfied information retrieval performance in its domain. This paper proposes a
knowledge search methodology using autonomous, intelligent agents to transform passive search and retrieval engines to active, personal assistants for the product development process. The combination of effective information retrieval techniques and autonomous, intelligent agents will improve the performance of short-term information retrieval in existing search or retrieval engines. Early results of an on-going research project will be presented and discussed. This includes a multiagent aid approach for knowledge search, the selection of agent construction tools, and the current implementation of the proposed methodology.

Item Type: Book Section
Additional Information: This paper forms part of the Proceedings of DET2007 4th International Conference on Digital Enterprise Technology Bath, United Kingdom 19-21 September 2007
Uncontrolled Keywords: information and knowledge Search, multi-agent, knowledge management, new product development
Subjects: T Technology > T Technology (General)
T Technology > TS Manufactures
Pre-2014 Departments: School of Engineering
School of Engineering > Department of Engineering Systems
School of Engineering > Centre for Innovative Product Development
Related URLs:
Last Modified: 14 Oct 2016 09:08
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/2934

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