Ontology-based knowledge retrieval in organizational memory

Kung Jiuan Yang, Yuh Min Chen

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

9 Citations (Scopus)

Abstract

Organization memory (OM) has been regarded as one of the most important resources in the enterprise. An OM captures stores and shares the valuable organization knowledge and thus esteem as a base of enterprise knowledge management. Due to the complexity of OM, structuring and accessing the huge amount of heterogeneous information will be a heavy workload. In this paper, for supporting learning and the sharing of knowledge of the informal documents, recommendations will be provided based on Case-Based Reasoning (CBR) techniques. And we propose an ontology-based approach model to retrieve formal, semi-formal or informal knowledge by specifying the meta-level description to improve the retrieval efficiency on the problems of daily task and furthermore to eliminate the possibility of information overload.

Original languageEnglish
Title of host publicationFirst International Conference on Innovative Computing, Information and Control 2006, ICICIC'06
Pages566-569
Number of pages4
DOIs
Publication statusPublished - 2006 Dec 1
Event1st International Conference on Innovative Computing, Information and Control 2006, ICICIC'06 - Beijing, United States
Duration: 2006 Aug 302006 Sep 1

Publication series

NameFirst International Conference on Innovative Computing, Information and Control 2006, ICICIC'06

Other

Other1st International Conference on Innovative Computing, Information and Control 2006, ICICIC'06
CountryUnited States
CityBeijing
Period06-08-3006-09-01

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Mechanical Engineering

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