• DocumentCode
    3086418
  • Title

    Privacy-Preserving Data Mashup

  • Author

    Barhamgi, Mahmoud ; Benslimane, Djamal ; Ghedira, Chirine ; Gancarski, Alda Lopes

  • Author_Institution
    Claude Bernard Lyon 1 Univ., Villeurbanne, France
  • fYear
    2011
  • fDate
    22-25 March 2011
  • Firstpage
    467
  • Lastpage
    474
  • Abstract
    Data Mashup is a special class of mashup application that combines information on the fly from multiple data sources to respond to transient business needs. Mashing up data requires an important programming skill on the side of mashups\´ creators, and involves handling many challenging privacy and security concerns raised by data providers. This situation prevents non-expert users from mashing up data at large. In this paper, we propose a declarative approach for mashing-up data. The approach allows data mashup creators to create data mashups without any programming involved, they just need to specify "declaratively" their data needs. The approach will then build the mashups automatically while taking into account the data\´s privacy and security concerns.
  • Keywords
    business data processing; data privacy; security of data; privacy preserving data mashup; programming skill; transient business needs; Data privacy; Mashups; Medical services; Ontologies; Resource description framework; Semantics; DaaS Web Services; Data Mashup; Privacy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Information Networking and Applications (AINA), 2011 IEEE International Conference on
  • Conference_Location
    Biopolis
  • ISSN
    1550-445X
  • Print_ISBN
    978-1-61284-313-1
  • Electronic_ISBN
    1550-445X
  • Type

    conf

  • DOI
    10.1109/AINA.2011.47
  • Filename
    5763419