• DocumentCode
    507130
  • Title

    Adaptivity in Entity Subscription Services

  • Author

    Giannakopoulos, George ; Palpanas, Themis

  • Author_Institution
    DISI, Univ. of Trento, Trento, Italy
  • fYear
    2009
  • fDate
    15-20 Nov. 2009
  • Firstpage
    61
  • Lastpage
    66
  • Abstract
    Real-word entities can be mapped to unique entity identifiers through an Entity Name System (ENS), to systematically support the re-use of these identifiers and disambiguate references to real world entities in the Web. An entity subscription service informs subscribed users of changes in the descriptive data of an entity, which is a set of attribute name-value pairs. We study the design, implementation and application of an adaptable push-policy subscription service, within a large-scale ENS. The subscription system aims to deliver ranked descriptions of the changes on entities, following user preferences through a feedback-driven adaptation process. The adaptation is based on both the content and the type of each entity change. We evaluate the learning curve of the system and the utility of the content-type discrimination. The experiments demonstrate good results, especially in the system´s content-aware adaptation aspect.
  • Keywords
    Web services; adaptive systems; user modelling; Web; attribute name value pairs; content aware adaptation aspect; content type discrimination; entity name system; entity subscription services adaptivity; push policy subscription service; real word entities; unique entity identifiers; Artificial intelligence; Cities and towns; Concrete; Electronic mail; Large-scale systems; Machine learning; Scalability; Subscriptions; Web sites; World Wide Web; Adaptive systems; Artificial intelligence; User modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns, 2009. COMPUTATIONWORLD '09. Computation World:
  • Conference_Location
    Athens
  • Print_ISBN
    978-1-4244-5166-1
  • Electronic_ISBN
    978-0-7695-3862-4
  • Type

    conf

  • DOI
    10.1109/ComputationWorld.2009.75
  • Filename
    5359556