情境感知知识增强服务及其在中国企业管理库中的应用

Ke Ning, Zhangbing Zhou, Jianhua Zheng, Dong Liu, Liang-Jie Zhang
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引用次数: 1

摘要

在知识经济时代,知识资源已经成为企业最宝贵的资产。为了更好地理解和重用知识,有必要将其与生成和使用知识的上下文联系起来。这个过程通常发生在经验丰富的知识工作者的脑海中,没有有效的辅助工具。本文提出了一种获取和利用上下文的方法,以增强知识,并特别关注从工业环境中提取上下文的方法。该方法采用知识上下文本体,将知识及其上下文关联到知识工作者的高层活动中。知识语境的提取方法包括语境识别、语境推理和语境相似度测量。基于该方法,本文开发了一套上下文感知知识增强服务,并将其应用于面向全国企业管理知识型员工的知识共享和重用平台——中国企业管理库(CEMT)。
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Services for Context Aware Knowledge Enhancement and Its Application in the Chinese Enterprise Management Tank (CEMT)
In the era of knowledge economy, knowledge resources have become the most valuable assets for enterprises. To better understand and reuse knowledge, it is necessary to relate it with the context in which the knowledge is generated and used. This is a process that usually occurs in an experienced knowledge-worker's mind and without efficient supporting tools. This paper proposes an approach for the acquisition and utilization of context for the enhancement of knowledge and with a particular focus on methods to enable context extraction from industrial settings. The approach adopts a knowledge context ontology, to correlate knowledge and its context in the high-level activities of a knowledge worker. Knowledge context are extracted by utilizing a combination of methods including context identification, context reasoning, and context similarity measurement. Based on the proposed approach, a set of services for context aware knowledge enhancement are developed and applied in The Chinese Enterprise Management Tank (CEMT), a knowledge sharing and reusing platform for business management knowledge workers in all around China.
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