An expert recommendation system for product empirical knowledge consultation

Yuh Jen Chen, Yuh Min Chen, Meng Sheng Wu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Citations (Scopus)

Abstract

Product Iifecycle, a knowledge intensive process, consists mainly of market analysis, product design and process development, product manufacturing, product distribution, product in use, post-sale service and product recycling. Performing and achieving each activity or its supply chain activities require product empirical knowledge at different levels to resolve product-related problems or make certain decisions. However, effective consultation and sharing of tacit product empirical knowledge would greatly enhance product market competitiveness. Therefore, effectively and correctly sharing product empirical knowledge from domain experts in different organizations require developing an expert recommendation system for product empirical knowledge consultation, which is priority concern for product knowledge management. This study develops an expert recommendation system for product empirical knowledge consultation by using ontology to matchmaking of the required consultative experts quickly and correctly for the product empirical knowledge requester, thus sharing required product empirical knowledge by interpersonal communication to resolve product-related problems efficiently. The tasks involved in this study include: (i) designing an expert recommendation process for product empirical knowledge consultation, (ii) developing an expert recommendation method for product empirical knowledge consultation, and (iii) implementing an expert recommendation mechanism for product empirical knowledge consultation.

Original languageEnglish
Title of host publicationProceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010
Pages23-27
Number of pages5
DOIs
Publication statusPublished - 2010 Nov 1
Event2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010 - Chengdu, China
Duration: 2010 Jul 92010 Jul 11

Publication series

NameProceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010
Volume1

Other

Other2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010
CountryChina
CityChengdu
Period10-07-0910-07-11

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'An expert recommendation system for product empirical knowledge consultation'. Together they form a unique fingerprint.

Cite this