• français
    • English
  • English 
    • français
    • English
  • Login
JavaScript is disabled for your browser. Some features of this site may not work without it.
BIRD Home

Browse

This CollectionBy Issue DateAuthorsTitlesSubjectsJournals BIRDResearch centres & CollectionsBy Issue DateAuthorsTitlesSubjectsJournals

My Account

Login

Statistics

View Usage Statistics

A Model-Driven Framework for the Modeling and the Description of Data-as-a-Service to Assist Service Selection and Composition

Thumbnail
Date
2019
Dewey
Informatique générale
Sujet
Cloud computing; Data-as-a-Service (DaaS); Web services; Semantic annotation; Domain ontologies; Model driven engineering; Reuse and specialization
DOI
http://dx.doi.org/10.1007/978-3-030-27615-7_30
Conference name
30th International Conference on Database and Expert Systems Applications (DEXA 2019)
Conference date
08-2019
Conference city
Linz
Conference country
Austria
Book title
Database and Expert Systems Applications, Proceedings, Part I
Author
Hartmann, Sven; Küng, Josef; Chakravarthy, Sharma
Publisher
Springer
Publisher city
Cham
Year
2019
Pages number
447
ISBN
978-3-030-27614-0
Book URL
10.1007/978-3-030-27615-7
URI
https://basepub.dauphine.fr/handle/123456789/20413
Collections
  • LAMSADE : Publications
Metadata
Show full item record
Author
Alili, Hiba
989 Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
421707 Laboratoire de recherche en Génie Logiciel, Applications distribuées, Systèmes décisionnels et Imagerie intelligente [Manouba] [RIADI]
Drira, Rim
421707 Laboratoire de recherche en Génie Logiciel, Applications distribuées, Systèmes décisionnels et Imagerie intelligente [Manouba] [RIADI]
Belhajjame, Khalid
989 Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Ben Ghezala, Henda Hajjami
status unknown
Grigori, Daniela
989 Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Type
Communication / Conférence
Item number of pages
396-406
Abstract (EN)
Data as a Service (DaaS) is seen as a promising cloud offering for wrangling the overload of information and making it available across cloud platforms anytime and anywhere. While there exist a large number of DaaS providers in the market, each one has a different way to describe its provided services as well as supplied datasets. The lack of a well-defined machine-readable model strongly hinders the automatic selection and composition of DaaSs. This paper presents MoDaaS, a model-driven framework for the modeling and the description of DaaS services. MoDaaS enables DaaS providers to describe their services capabilities and concerns according to a shared ontology, thereafter it enables them to automatically generate service views in order to assist the integration and data exchange between heterogeneous services.

  • Accueil Bibliothèque
  • Site de l'Université Paris-Dauphine
  • Contact
SCD Paris Dauphine - Place du Maréchal de Lattre de Tassigny 75775 Paris Cedex 16

 Content on this site is licensed under a Creative Commons 2.0 France (CC BY-NC-ND 2.0) license.