• DocumentCode
    168283
  • Title

    Crowd-sourcing Web knowledge for metadata extraction

  • Author

    Zhaohui Wu ; Wenyi Huang ; Chen Liang ; Giles, C. Lee

  • Author_Institution
    Comput. Sci. & Eng., Pennsylvania State Univ., University Park, PA, USA
  • fYear
    2014
  • fDate
    8-12 Sept. 2014
  • Firstpage
    141
  • Lastpage
    144
  • Abstract
    We explore a new metadata extraction framework without human annotators with the ground truth harvested from Web. A new training sample is selected based on not only the uncertainty and representativeness in the unlabeled pool, but also on its availability and credibility in Web knowledge bases. We construct a dataset of 4329 books with valid metadata and evaluate our approach using 5 Web book databases as oracles. Empirical results demonstrate its effectiveness and efficiency.
  • Keywords
    Internet; knowledge based systems; learning (artificial intelligence); meta data; query processing; Web Knowledge crowdsourcing; Web book databases; Web knowledge bases; metadata extraction framework; oracles; training sample; Abstracts; IP networks; Welding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Libraries (JCDL), 2014 IEEE/ACM Joint Conference on
  • Conference_Location
    London
  • Type

    conf

  • DOI
    10.1109/JCDL.2014.6970160
  • Filename
    6970160
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=168283