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.
fDate :
Aug. 30 2006-Sept. 1 2006
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;
Conference_Titel :
Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7695-2616-0
DOI :
10.1109/ICICIC.2006.124