Name
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. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/ICICIC.2006.124 | ICICIC (1) |
Keywords | Field | DocType |
informal document,organizational memory,om captures store,enterprise knowledge management,organization memory,informal knowledge,daily task,ontology-based knowledge retrieval,valuable organization knowledge,case-based reasoning,heterogeneous information,information overload,information retrieval,reasoning,case based reasoning,case base reasoning,knowledge management,ontology | Ontology,Information overload,Knowledge sharing,Workload,Organizational memory,Computer science,Knowledge management,Organizational learning,Case-based reasoning,Knowledge retrieval | Conference |
ISBN | Citations | PageRank |
0-7695-2616-0 | 3 | 0.41 |
References | Authors | |
4 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kung-Jiuan Yang | 1 | 33 | 3.48 |
| Yuh-Min Chen | 2 | 379 | 32.12 |