DocumentCode
456653
Title
Ontology-Based Knowledge Retrieval in Organizational Memory
Author
Yang, Kung-Jiuan ; Chen, Yuh-Min
Author_Institution
Dept. of Inf. Manage., Fortune Inst. of Technol.
Volume
1
fYear
2006
fDate
Aug. 30 2006-Sept. 1 2006
Firstpage
566
Lastpage
569
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 are 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
Keywords
case-based reasoning; information retrieval; knowledge management; ontologies (artificial intelligence); case-based reasoning; enterprise knowledge management; knowledge retrieval; knowledge sharing; meta-level description; ontology; organization memory; Databases; Distributed computing; Electronic learning; Information management; Information retrieval; Knowledge management; Manufacturing; Memory management; Ontologies; Vehicles; Case-Based; Knowledge Retrieval; Ontology; Organization Memory; Reasoning;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on
Conference_Location
Beijing
Print_ISBN
0-7695-2616-0
Type
conf
DOI
10.1109/ICICIC.2006.124
Filename
1691863
Link To Document