Enterprise Knowledge Recommendation Approach Based on Context-aware of Time-sequence Relationship

被引：6

作者：

Song, Jun ^{[1
]}

Zhan, Hongfei ^{[1
]}

Yu, Junhe ^{[1
]}

Zhang, Qi ^{[1
]}

Wu, Yinan ^{[1
]}

机构：

[1] Ningbo Univ, Fac Mech Engn & Mech, Ningbo 315211, Zhejiang, Peoples R China

来源：

ADVANCES IN INFORMATION AND COMMUNICATION TECHNOLOGY | 2017年 / 107卷

基金：

中国国家自然科学基金;

关键词：

Context-aware; Gantt chart; Knowledge recommendation; Knowledge management; Time-sequence relationship;

D O I：

10.1016/j.procs.2017.03.104

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Enterprise knowledge recommendation approach combines two elements of knowledge and context. And knowledge and context composed context data pool. Knowledge consist of associated knowledge elements. Context refers to the time context. Based on the analysis of time context, considering the effect of time context on knowledge recommendation. Gantt chart is applied to describe the time-sequence relationship in the knowledge recommendation process. And through visual analysis of R programming language, it confirms the importance of time context. Enterprise knowledge recommendation approach is proposed based on context-aware. It improves the knowledge recommendation accuracy, and helps employees' knowledge reuse effectively.

引用

页码：285 / 290

页数：6

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