• DocumentCode
    2929018
  • Title

    Towards Service Composition for Consuming Linked Data: A Failure Perspective

  • Author

    Portilla Rosero, Byron ; Guzman Luna, Jaime Alberto ; Alor Hernandez, Giner

  • Author_Institution
    Dept. Cienc. de la Comput. y de la Decision, Univ. Nac. de Colombia sede Medellin, Medellin, Colombia
  • fYear
    2013
  • fDate
    24-30 Nov. 2013
  • Firstpage
    133
  • Lastpage
    138
  • Abstract
    Service composition can be considered as a Linked Data model due to the way that each one of the services that make up the composition is structured. For doing this, a service composer is required in order to evaluate the input and output data of various web-distributed services for linking them. These links can be analyzed from a quality perspective in which a service may fail when it does not fulfill the requirements that satisfy the linking conditions. Therefore, these conditions are analyzed from two points of view: 1) service availability and, 2) the handling of composer´s beliefs. The latter refers to the fact that a service must not consider only two types of data to perform links, it should consider also the value of the instances, taking into account a same context. This work presents a new approach for the consumption of Linked Data in a service composition environment which uses as reference those links which have less probability of failing, selecting those services that can reduce the risk of a composition failure.
  • Keywords
    Web services; system recovery; Web-distributed services; composer belief handling; composition failure; failure perspective; linked data consumption; linked data model; service availability; service composer; service composition environment; Availability; Data models; Fault diagnosis; Measurement; Resource description framework; Semantics; Web services; Web service composition; Web services; linked data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence (MICAI), 2013 12th Mexican International Conference on
  • Conference_Location
    Mexico City
  • Print_ISBN
    978-1-4799-2604-6
  • Type

    conf

  • DOI
    10.1109/MICAI.2013.23
  • Filename
    6714659