K-support system: Knowledge support for disseminating and sharing task-relevant knowledge

I. Chin Wu*, Duen-Ren Liu, Kuen Shieh Yang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In task-based business environments, an important issue in deploying Knowledge Management Systems (KMS) is providing task-relevant information to fulfill the information needs of knowledge workers. This work develops a Knowledge Support (K-Support) system providing a collaborative task-based workplace to facilitate knowledge retrieval and sharing among peergroups. In the developed system, an adaptive task-based profiling approach is proposed to model worker's information needs (profiles), while a fuzzy analytical method is proposed to identify peer-groups with similar task-interests based on workers' profiles. The K-Support system is grounded in a research institute to effectively stimulate task-based knowledge retrieval and sharing.

Original languageEnglish
Title of host publicationProceedings of the 2004 IEEE International Conference on Information Reuse and Integration, IRI-2004
EditorsA.M. Memon, N. Zhao
Pages326-331
Number of pages6
DOIs
StatePublished - 2004
EventProceedings of the 2004 IEEE International Conference on Information Reuse and Integration, IRI-2004 - Las Vegas, NV, United States
Duration: 8 Nov 200410 Nov 2004

Publication series

NameProceedings of the 2004 IEEE International Conference on Information Reuse and Integration, IRI-2004

Conference

ConferenceProceedings of the 2004 IEEE International Conference on Information Reuse and Integration, IRI-2004
Country/TerritoryUnited States
CityLas Vegas, NV
Period8/11/0410/11/04

Fingerprint

Dive into the research topics of 'K-support system: Knowledge support for disseminating and sharing task-relevant knowledge'. Together they form a unique fingerprint.

Cite this