An intelligent human-expert forum system based on fuzzy information retrieval technique

Yueh-Min Huang, Juei Nan Chen, Yen Hung Kuo, Yu Lin Jeng

Research output: Contribution to journalArticle

28 Citations (Scopus)

Abstract

The forum system is useful for sharing knowledge and help-seeking. However, existing forums often have the problem that some questions remain unanswered. This study proposes an intelligent human-expert forum system to perform more efficient knowledge sharing. The system uses fuzzy information retrieval techniques to discover important discussion knowledge and actively invites human-experts who might be capable of answering the question to participate in the discussion. The selection of human-experts employs the Expert-Terms Correlation Matrix, which stores the knowledge strength of human-experts. Moreover, the forgetting curve is adopted into our forum system for modeling the variations in memory strength. The experiment uses three different categories of discussions to be the testing data, and the performance study shows acceptable results on discussion searching and expert discovery.

Original languageEnglish
Pages (from-to)446-458
Number of pages13
JournalExpert Systems With Applications
Volume34
Issue number1
DOIs
Publication statusPublished - 2008 Jan 1

Fingerprint

Information retrieval
Expert systems
Data storage equipment
Testing
Experiments

All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Computer Science Applications
  • Artificial Intelligence

Cite this

Huang, Yueh-Min ; Chen, Juei Nan ; Kuo, Yen Hung ; Jeng, Yu Lin. / An intelligent human-expert forum system based on fuzzy information retrieval technique. In: Expert Systems With Applications. 2008 ; Vol. 34, No. 1. pp. 446-458.
@article{fe4278a9c9bb4b7db9cf846fbaaa7c09,
title = "An intelligent human-expert forum system based on fuzzy information retrieval technique",
abstract = "The forum system is useful for sharing knowledge and help-seeking. However, existing forums often have the problem that some questions remain unanswered. This study proposes an intelligent human-expert forum system to perform more efficient knowledge sharing. The system uses fuzzy information retrieval techniques to discover important discussion knowledge and actively invites human-experts who might be capable of answering the question to participate in the discussion. The selection of human-experts employs the Expert-Terms Correlation Matrix, which stores the knowledge strength of human-experts. Moreover, the forgetting curve is adopted into our forum system for modeling the variations in memory strength. The experiment uses three different categories of discussions to be the testing data, and the performance study shows acceptable results on discussion searching and expert discovery.",
author = "Yueh-Min Huang and Chen, {Juei Nan} and Kuo, {Yen Hung} and Jeng, {Yu Lin}",
year = "2008",
month = "1",
day = "1",
doi = "10.1016/j.eswa.2006.09.037",
language = "English",
volume = "34",
pages = "446--458",
journal = "Expert Systems with Applications",
issn = "0957-4174",
publisher = "Elsevier Limited",
number = "1",

}

An intelligent human-expert forum system based on fuzzy information retrieval technique. / Huang, Yueh-Min; Chen, Juei Nan; Kuo, Yen Hung; Jeng, Yu Lin.

In: Expert Systems With Applications, Vol. 34, No. 1, 01.01.2008, p. 446-458.

Research output: Contribution to journalArticle

TY - JOUR

T1 - An intelligent human-expert forum system based on fuzzy information retrieval technique

AU - Huang, Yueh-Min

AU - Chen, Juei Nan

AU - Kuo, Yen Hung

AU - Jeng, Yu Lin

PY - 2008/1/1

Y1 - 2008/1/1

N2 - The forum system is useful for sharing knowledge and help-seeking. However, existing forums often have the problem that some questions remain unanswered. This study proposes an intelligent human-expert forum system to perform more efficient knowledge sharing. The system uses fuzzy information retrieval techniques to discover important discussion knowledge and actively invites human-experts who might be capable of answering the question to participate in the discussion. The selection of human-experts employs the Expert-Terms Correlation Matrix, which stores the knowledge strength of human-experts. Moreover, the forgetting curve is adopted into our forum system for modeling the variations in memory strength. The experiment uses three different categories of discussions to be the testing data, and the performance study shows acceptable results on discussion searching and expert discovery.

AB - The forum system is useful for sharing knowledge and help-seeking. However, existing forums often have the problem that some questions remain unanswered. This study proposes an intelligent human-expert forum system to perform more efficient knowledge sharing. The system uses fuzzy information retrieval techniques to discover important discussion knowledge and actively invites human-experts who might be capable of answering the question to participate in the discussion. The selection of human-experts employs the Expert-Terms Correlation Matrix, which stores the knowledge strength of human-experts. Moreover, the forgetting curve is adopted into our forum system for modeling the variations in memory strength. The experiment uses three different categories of discussions to be the testing data, and the performance study shows acceptable results on discussion searching and expert discovery.

UR - http://www.scopus.com/inward/record.url?scp=34248566918&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=34248566918&partnerID=8YFLogxK

U2 - 10.1016/j.eswa.2006.09.037

DO - 10.1016/j.eswa.2006.09.037

M3 - Article

VL - 34

SP - 446

EP - 458

JO - Expert Systems with Applications

JF - Expert Systems with Applications

SN - 0957-4174

IS - 1

ER -