On Enriching User-Centered Data Integration Schemas in Service Lakes
Alili, Hiba; Belhajjame, Khalid; Grigori, Daniela; Drira, Rim; Ben Ghezala, Henda Hajjami (2017), On Enriching User-Centered Data Integration Schemas in Service Lakes, in Abramowicz, Witold, Business Information Systems, 20th International Conference, BIS 2017, Proceedings, Springer : Berlin Heidelberg, p. 3-15. 10.1007/978-3-319-59336-4_1
Type
Communication / ConférenceDate
2017Conference title
Business Information Systems 20th International Conference (BIS 2017)Conference date
2017-06Conference city
PoznanConference country
PolandBook title
Business Information Systems, 20th International Conference, BIS 2017, ProceedingsBook author
Abramowicz, WitoldPublisher
Springer
Published in
Berlin Heidelberg
ISBN
978-3-319-59335-7
Number of pages
352Pages
3-15
Publication identifier
Metadata
Show full item recordAuthor(s)
Alili, HibaLaboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Belhajjame, Khalid
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Grigori, Daniela
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Drira, Rim
Laboratoire de recherche en Génie Logiciel, Applications distribuées, Systèmes décisionnels et Imagerie intelligente [Manouba] [RIADI]
Ben Ghezala, Henda Hajjami

Laboratoire de recherche en Génie Logiciel, Applications distribuées, Systèmes décisionnels et Imagerie intelligente [Manouba] [RIADI]
Abstract (EN)
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.Subjects / Keywords
User-centric data integration; Data provisioning service lakes; Schema enrichingRelated items
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