Earticle

초록

영어

With the arrival of the big data era, it has become a spot for research to evaluate currency of network information so far. This paper proposes a model of network information currency evaluation based on Web semantic extraction method taking Web news as object of study. The author elaborates the method, technology and main functions on every layer of the model in detail, which have been used or completed, and focus on how to extract semantic information efficiently from the contents of Web news, in order to explore a research method for network information currency evaluation. The experimental results show the validity of the model design that plays a very important role in leading network users pay attention to more valuable network information and helping Web site managers build a higher currency Web site.

목차

Abstract
 1. Introduction
 2. Related Works
 3. Theoretical Principles
  3.1. Web News Currency
  3.2. The Semantic Information of Web News
 4. The Design of Network Information Currency Evaluation Model
  4.1. The Extraction Layer of Web News Elements
  4.2. The Semantic Analysis Layer of Web News Content
  4.3. The Filtering Layer of Web News Noise Records
  4.4. The Evaluation Layer of Web News Currency
 5. The Experiments of Model
 6. Conclusion
 References

키워드

저자

• Mo Chen [ School of Information, Renmin University of China, Beijing 100872, China, Business College of Beijing Union University, Beijing 100025, China ]
• Xiao-Ping Yang [ School of Information, Renmin University of China, Beijing 100872, China ]
• Meng Sun [ Business College of Beijing Union University, Beijing 100025, China ]
• Yun Zhao [ Business College of Beijing Union University, Beijing 100025, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Future Generation Communication and Networking

• 간기

  격월간

• pISSN

  2233-7857

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605