A multi-agent based knowledge search methodology for product development
Tools
Tools
Gao, James 
ORCID: 0000-0001-5625-3654 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.
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 > Centre for Innovative Product Development School of Engineering > Department of Engineering Systems |
| Related URLs: | |
| Last Modified: | 29 Jan 2020 12:26 |
| URI: | http://gala.gre.ac.uk/id/eprint/2934 |
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