Earticle

초록

영어

With the explosive growth of the web information, acquiring the target information quickly, precisely and effectively in a large number of network information is restricted by many factors. In response to it, this paper analyzed the key technician part in the network information search engine-web crawler technology and proposed a network information target search model based on the web vertical crawler system with discussion on the implementation of the corresponding search strategy. Firstly, it builds the structure of the web crawler system and analyzes different function models. Next, it discusses some crucial problems including the options of deleting duplicated URL, the strategies to choose duplicated URL deletion method and the control model of error probability estimate model to acquire the closest network information to the target information. Finally, it verifies and discusses the operability and effectiveness of the model and the implementation strategy through case study.

목차

Abstract
 1. Introduction
 2. Build the Structure of the Web Vertical Crawler System
 3. The Options and Strategies to Delete the Duplicated URL in the Web Vertical Crawler System
  3.1. The Options to Delete the Duplicated URL
  3.2. Implementation Strategy of Deleting the Duplicated URL
 4. The Control Model of the Search Estimate Error Probability of Web Vertical Crawler
 5. Case Validation and Analysis
 6. Conclusion
 Acknowledgment
 References

키워드

저자

• Bin Wang [ College of Information Science and Technology, Agricultural University of Hebei, Department Economics and Management, Baoding Vocational and Technical College, Department of Digital Media, Hebei Software Institute, Baoding, China College of Life Sciences, Agricultural University of Hebei ]
• Jian Zhang [ College of Information Science and Technology, Agricultural University of Hebei, Department Economics and Management, Baoding Vocational and Technical College, Department of Digital Media, Hebei Software Institute, Baoding, China College of Life Sciences, Agricultural University of Hebei ]
• Na Wang [ College of Information Science and Technology, Agricultural University of Hebei, Department Economics and Management, Baoding Vocational and Technical College, Department of Digital Media, Hebei Software Institute, Baoding, China College of Life Sciences, Agricultural University of Hebei ]
• Xiaohua Sun [ College of Information Science and Technology, Agricultural University of Hebei, Department Economics and Management, Baoding Vocational and Technical College, Department of Digital Media, Hebei Software Institute, Baoding, China College of Life Sciences, Agricultural University of Hebei ]
• Yanhui Wang [ College of Information Science and Technology, Agricultural University of Hebei, Department Economics and Management, Baoding Vocational and Technical College, Department of Digital Media, Hebei Software Institute, Baoding, China College of Life Sciences, Agricultural University of Hebei ]

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