Trusted, fair multi-segment business models, enabled by a user-centric, privacy-aware platform, for a data-driven era

Iosif Alvertis, Michael Petychakis, Romanos Tsouroplis, Evmorfia Biliri, Fenareti Lampathaki, Dimitrios Askounis, Timotheos Kastrinogianins, Andreas Daskalopoulos, Theodoros Michalareas, Eric Robson, Donal MacCarthy, Christine O'Meara, Lukasz Radziwonowicz, Robert Kleinfeld

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)


Today's mobile applications, spanning from file storage and syncing, place checking in and tagging, multimedia sharing, streaming and recommendation, to social and professional networking, rely a lot on cloud-based services, which in turn offer increasingly more functionalities through their publicly available APIs. Users have greeted this abundance of services with even greater demand for innovative applications to address personal and business needs, but are still unaware of the full power that could be leveraged from their data, currently scattered on various platforms. In this complex ecosystem of mobile applications OPENi offers a way to facilitate developers into building applications over the multiple and diverse APIs but also provides users with their own personal cloud storage space, the "Cloudlet", equipped with strong privacy controlling mechanisms, accessed through its open-source Graph API platform. New business models can thus be deployed that leverage the full potential of the available data and metadata, offering application developers the means to create powerful but also privacy-aware services, respecting the requirements of both parties, i.e. service providers and data-owners.

Original languageEnglish
Pages (from-to)1-8
Number of pages8
JournalCEUR Workshop Proceedings
Publication statusPublished - 2015
EventCAiSE 2015 Forum at the 27th International Conference on Advanced Information Systems Engineering, CAiSE 2015 - Stockholm, Sweden
Duration: 08 Jun 201512 Jun 2015


  • APIs
  • Cloud-based mobile applications
  • Context
  • Generic graph API
  • Personal data privacy
  • Privacy-by-design


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