• DocumentCode
    1619501
  • Title

    Automatic Filling Values to Services: A Road Map

  • Author

    Shaohua Wang ; Ying Zou ; Ng, Joanna ; Ng, Tinny

  • Author_Institution
    Queen´s Univ., Kingston, ON, Canada
  • fYear
    2015
  • Firstpage
    275
  • Lastpage
    277
  • Abstract
    It is common for users to explicitly or implicitly compose on-line services to accomplish daily tasks, such as shopping for a pair of shoes on-line. However, unnecessary and repetitive data typing into the services would negatively impact the user experience and decrease the efficiency of service composition. Recent studies have proposed several approaches to help users fill in values to services automatically. However, existing approaches suffer the following two drawbacks: 1) poor accuracy of filling values to services, 2) not designed for service composition. In this position paper, we first present the recent approaches improving the process of filling values to services. We then present our recent achievements and results of using our proposed approaches to help users fill values to services. Lastly, we discuss the various opportunities and challenges in the research field of filling values to services.
  • Keywords
    Web services; Web services; information reuse; service composition; services automatic filling values; Accuracy; Browsers; Context; Filling; Footwear; Machine learning algorithms; Web services; information reuse; input parameter value recommendation; service composition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Services (SERVICES), 2015 IEEE World Congress on
  • Conference_Location
    New York, NY
  • Print_ISBN
    978-1-4673-7274-9
  • Type

    conf

  • DOI
    10.1109/SERVICES.2015.48
  • Filename
    7196536