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Hybrid theme crawler based on links and semantics

  • 编号:
    03653252-5c87-4933-8f63-04642c5b1355
  • 作者:
    Zhao, Kang (1)[1] Yang, Yang(杨阳) (1)[1] Gao, Zhipeng (1)[1] Cheng, Long (1)[1]
  • 地址:

    [1]State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing; 100876, China

  • 语种:
    英文
  • 期刊:
    Advances in Intelligent Systems and Computing ISSN:2194-5357 2020 年 905 卷 (671 - 680) ; August 17, 2018 - August 19, 2018
  • 收录:
  • 摘要:

    Common theme crawler generally analyses the page content or link structure, without solving the problem of computational complexity and easy “myopia”, resulting in the page of recall and precision is not high. This paper introduces a mixed theme decision strategy, which fully considers the text content and link structure of the page. By introducing knowledge map database and entity database, the computational complexity is simplified and the judgment accuracy is increased. The experiment shows that the rate of inspection and precision is greatly improved. © Springer Nature Switzerland AG 2020.

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  • 推荐引用方式
    GB/T 7714:
    Zhao Kang (1),Yang Yang (1),Gao Zhipeng (1), et al. Hybrid theme crawler based on links and semantics [J].Advances in Intelligent Systems and Computing,2020,905:671-680.
  • APA:
    Zhao Kang (1),Yang Yang (1),Gao Zhipeng (1),Cheng Long (1).(2020).Hybrid theme crawler based on links and semantics .Advances in Intelligent Systems and Computing,905:671-680.
  • MLA:
    Zhao Kang (1), et al. "Hybrid theme crawler based on links and semantics" .Advances in Intelligent Systems and Computing 905(2020):671-680.
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