• DocumentCode
    2181703
  • Title

    Toward large scale data-aware search: Ranking, indexing, resolution and beyond

  • Author

    Cheng, Tao ; Chang, Kevin Chen-Chuan

  • Author_Institution
    Comput. Sci. Dept., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
  • fYear
    2010
  • fDate
    1-6 March 2010
  • Firstpage
    297
  • Lastpage
    300
  • Abstract
    As the Web has evolved into a data-rich repository, with the standard ¿page view,¿ current search engines are becoming increasingly inadequate. To realize data-aware search, toward searching for data entities on the Web, we have been developing the various aspects of an entity search system, including: entity ranking, entity indexing and parallelization, entity resolution, as well as generalization and customization. Preliminary results show the promise of our proposals, achieving high accuracy, efficiency and scalability. We will also summarize our contributions and point out interesting future directions along the line of enabling data-aware search on the Web.
  • Keywords
    Internet; data handling; indexing; search engines; World Wide Web; data-rich repository; indexing; large scale data-aware search; search engines; Computer science; Customer service; Indexing; Large-scale systems; Proposals; Scalability; Search engines; Search problems; Seminars;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering Workshops (ICDEW), 2010 IEEE 26th International Conference on
  • Conference_Location
    Long Beach, CA
  • Print_ISBN
    978-1-4244-6522-4
  • Electronic_ISBN
    978-1-4244-6521-7
  • Type

    conf

  • DOI
    10.1109/ICDEW.2010.5452729
  • Filename
    5452729