期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
"Intelligent" Knowledge Reuse for Complex Logistics Projects: An Application of Ontology-Driven and Case-Based Reasoning
1
作者 Stephan Zelewski Martin Kowalski Daniel Bergenrodt 《Journal of Control Science and Engineering》 2013年第1期23-37,共15页
The application potential of ontology-driven and CBR (case-based reasoning) is demonstrated for the business knowledge management particularly with respect to the reuse of knowledge of experience concerning logistic... The application potential of ontology-driven and CBR (case-based reasoning) is demonstrated for the business knowledge management particularly with respect to the reuse of knowledge of experience concerning logistics projects. The relevance of poorly structured, qualitative and especially in natural language represented knowledge is outlined for purposes of knowledge management, particularly with respect to the management of project-related knowledge. It is elucidated how this kind of knowledge can be preprocessed and reused with the support of a computer. At first, the technique of CBR is outlined in its basic fundamentals. Thereupon, it will be shown how the technique of ontologies can be used for the computer-supported processing of knowledge represented in natural language and integrated in computer-assisted CBR systems. A simple application example illustrates how ontology-driven and CBR can be used in practice within the reuse of project-related knowledge. Finally, it will be addressed which further need for research exists in principle. 展开更多
关键词 Case-based reasoning knowledge management knowledge of experience knowledge reuse logistics projects ontologies project management.
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部