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Quality Based Data Integration for Enriching User Data Sources in Service Lakes

Alili, Hiba; Belhajjame, Khalid; Drira, Rim; Grigori, Daniela; Ben Ghezala, Henda Hajjami (2018), Quality Based Data Integration for Enriching User Data Sources in Service Lakes, 2018 IEEE International Conference on Web Services (ICWS 2018): Part of the 2018 IEEE World Congress on Services, IEEE - Institute of Electrical and Electronics Engineers : Piscataway, NJ, p. 163-170. 10.1109/ICWS.2018.00028

Type
Communication / Conférence
Date
2018
Conference title
IEEE International Conference on Web Services (ICWS 2018)
Conference date
2018-07
Conference city
San Francisco
Conference country
United States
Book title
2018 IEEE International Conference on Web Services (ICWS 2018): Part of the 2018 IEEE World Congress on Services
Publisher
IEEE - Institute of Electrical and Electronics Engineers
Published in
Piscataway, NJ
ISBN
978-1-5386-7247-1
Number of pages
386
Pages
163-170
Publication identifier
Metadata
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Author(s)
Alili, Hiba
Laboratoire 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]
Drira, Rim
Laboratoire de recherche en Génie Logiciel, Applications distribuées, Systèmes décisionnels et Imagerie intelligente [Manouba] [RIADI]
Grigori, Daniela
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Ben Ghezala, Henda Hajjami cc
Laboratoire de recherche en Génie Logiciel, Applications distribuées, Systèmes décisionnels et Imagerie intelligente [Manouba] [RIADI]
Abstract (EN)
Data lakes have recently emerged as an alternative solution to costly traditional data warehouse solutions. To exploit data lakes, however, there is a need for means that assist users in combining and integrating data stored within a data lake. 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/her. We show how data lakes, or more specifically the service lakes, since we are focusing on data providing services, can be leveraged to answer user queries, taking into account the quality of the services and respecting the (time and monetary) budget set by the user.
Subjects / Keywords
User Centric Data Integration; Service Lakes; Data Service Composition; QoS Evaluation Criteria