원문정보
보안공학연구지원센터(IJDTA)
International Journal of Database Theory and Application
Vol.9 No.5
2016.05
pp.213-220
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Recommend knowledge to staff who need in the work can improve work efficiency, knowledge application and innovation. Enterprise knowledge is described in three dimensions: knowledge attribute, process and domain. Based on this, domain knowledge actively recommendation architecture based by process-driven and rough set is construct, while domain knowledge and rough set active recommendation method is proposed. We will use this architecture to analyze employee, domain, and process. Then will using rough set to analyze the rules from logs of using knowledge. Combination with requirement of employees, process data and the rules to achieve recommend the accurate knowledge.
목차
Abstract
1. Introduction
2. Related Work
3. The Description Method of Domain Knowledge Based Process
4. The Recommendation Architecture of Domain Knowledge Based Process
5. Domain Knowledge Actively Recommendation Based by Process-Driven
6. Knowledge Matching Model Construction Based on Rough Set
6.1 Basic Theory of Rough Set
6.2 Knowledge Matching Model Based on Rough Set
7. Conclusion
Acknowledgements
References
1. Introduction
2. Related Work
3. The Description Method of Domain Knowledge Based Process
4. The Recommendation Architecture of Domain Knowledge Based Process
5. Domain Knowledge Actively Recommendation Based by Process-Driven
6. Knowledge Matching Model Construction Based on Rough Set
6.1 Basic Theory of Rough Set
6.2 Knowledge Matching Model Based on Rough Set
7. Conclusion
Acknowledgements
References
저자정보
참고문헌
자료제공 : 네이버학술정보