On Enriching User-Centered Data Integration Schemas in Service Lakes

  • Hiba AliliEmail author
  • Khalid Belhajjame
  • Daniela Grigori
  • Rim Drira
  • Henda Hajjami Ben Ghezala
Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 288)


In the Big Data era, companies are moving away from traditional data-warehouse solutions whereby expensive and time-consuming ETL (Extract-Transform-Load) processes are used, towards data lakes, which can be viewed as storage repositories holding a vast amount of raw data. In this paper, we position ourselves in the recurrent context where a user has a local dataset that is not sufficient for processing the queries that are of interest to him. In this context, we show how the data lake, or more specifically the service lake since we are focusing on data providing services, can be leveraged to enrich the local dataset with concepts that cater for the processing of user queries. Furthermore, we present the algorithms we have developed for this purpose and showcase the working of our solution using a study case.


User-centric data integration Data provisioning service lakes Schema enriching 


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Hiba Alili
    • 1
    • 2
    Email author
  • Khalid Belhajjame
    • 1
  • Daniela Grigori
    • 1
  • Rim Drira
    • 2
  • Henda Hajjami Ben Ghezala
    • 2
  1. 1.Paris-Dauphine University, PSL Research University, CNRS, [UMR 7243], LAMSADEParisFrance
  2. 2.National School of Computer SciencesUniversity of Manouba, RIADIManoubaTunisia

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