Research Output
A method for automating the extraction of specialized information from the web
  The World Wide Web can be viewed as a gigantic distributed database including millions of interconnected hosts some of which publish information via web servers or peer-to-peer systems. We present here a novel method for the extraction of semantically rich information from the web in a fully automated fashion. We illustrate our approach via a proof-of-concept application which scrutinizes millions of web pages looking for clues as to the trend of the Chinese stock market. We present the outcomes of a 210-day long study which indicates a strong correlation between the information retrieved by our prototype and the actual market behavior.

  • Date:

    31 December 2005

  • Publication Status:

    Published

  • DOI:

    10.1007/11596448_72

  • Funders:

    Historic Funder (pre-Worktribe)

Citation

Lin, L., Liotta, A., & Hippisley, A. (2005). A method for automating the extraction of specialized information from the web. In Computational Intelligence and Security International Conference, CIS 2005, Xi’an, China, December 15-19, 2005, Proceedings Part I. , (489-494). https://doi.org/10.1007/11596448_72

Authors

Keywords

information extraction; Web; automation; information retrieval

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