• DocumentCode
    1645151
  • Title

    Tourist activity extraction from text

  • Author

    Dewadkar, Dnyaneshar ; Raisingani, Bharat ; Chandran, Anandkumar ; Upganlawar, Aniket

  • Author_Institution
    VE.Eng. Dept., Verchaska Infotech Private Ltd., Mumbai, India
  • fYear
    2013
  • Firstpage
    1560
  • Lastpage
    1562
  • Abstract
    Easy information sharing and open resources on the web motivate information extraction in growing sectors like the Tourism industry. Tourism data resources are precompiled, focused on specialized services for tourists. This paper presents an uncomplicated definition of `Activity´, provides methods to extract tourist activities as `Entities´, and gives case studies with certain encountered limitations. It also explains the simple and fast prototyping of an extraction method, based on an entity from the `tourism´ concept corpus. The extraction method uses `Wordnet´ as a knowledge base.
  • Keywords
    Internet; information retrieval; text analysis; travel industry; Wordnet; entity; information extraction; information sharing; knowledge base; open resources; text analysis; tourism concept corpus; tourism data resources; tourism industry; tourist activity extraction; Computer aided software engineering; Context; Data mining; Industries; Knowledge based systems; Tagging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Computing, Communications and Informatics (ICACCI), 2013 International Conference on
  • Conference_Location
    Mysore
  • Print_ISBN
    978-1-4799-2432-5
  • Type

    conf

  • DOI
    10.1109/ICACCI.2013.6637412
  • Filename
    6637412