Skip to main content
padlock icon - secure page this page is secure

A multi-agent based knowledge search framework to support the product development process

Buy Article:

$61.00 + tax (Refund Policy)

The amount of information available via networks and databases highlights the limited assistance of existing search and retrieval engines in locating relevant information. Owing to the rising demand for information retrieval, manufacturers employ various search techniques to provide a more satisfied information retrieval performance in its domain. As a knowledge-intensive activity, a product development team seeks a more effective knowledge search to achieve competitive advantage. This paper proposes a knowledge search methodology using autonomous, intelligent agents to transform passive search and retrieval engines into 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. Results of the research project will be presented and discussed. This includes a multi-agent approach for knowledge search, the selection of agent construction tools, and the current implementation of the proposed methodology.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Keywords: information and knowledge search; knowledge management; multi-agent; new product development

Document Type: Research Article

Affiliations: 1: Centre for Innovative Product Development, School of Engineering, University of Greenwich, Chatham Maritime, Kent, UK 2: Department of Computer Science and Engineering, Shanghai Jiao Tong University, China

Publication date: March 1, 2010

More about this publication?
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more