Ensuring License Compliance in Federated Query Processing - Ecole Centrale de Nantes Accéder directement au contenu
Communication Dans Un Congrès Année : 2020

Ensuring License Compliance in Federated Query Processing

Résumé

When two or more licensed datasets participate in the evaluation of a federated query, the query result must be protected by a license that is compliant with each license of the involved datasets. However, such a license does not always exist, and this leads to a query result that cannot be reused. We propose to deal with this issue during the federated query processing by discarding datasets of conflicting licenses. But then, a query with an empty result set can be obtained. To face this problem, we use query relaxation techniques. Our problem statement is, given a SPARQL query and a federation of licensed datasets, how to guarantee a relevant and non-empty query result whose license is compliant with each license of involved datasets? In a distributed environment, the challenge is to limit communication costs when the query relaxation process is necessary. In this paper, to detect and prevent license conflicts, we propose FLiQuE, a license aware query processing strategy for federated query engines. Experiments show that FLiQuE guarantees license compliance, and if necessary, can find relevant relaxed federated queries with a limited overhead in terms of execution time.
Fichier principal
Vignette du fichier
paper_sumary.pdf (453.02 Ko) Télécharger le fichier
Loading...

Dates et versions

hal-02904076 , version 1 (21-07-2020)
hal-02904076 , version 2 (10-11-2020)

Licence

Paternité

Identifiants

  • HAL Id : hal-02904076 , version 2

Citer

Benjamin Moreau, Patricia Serrano-Alvarado. Ensuring License Compliance in Federated Query Processing. 36ème Conférence sur la Gestion de Données – Principes, Technologies et Applications (BDA 2020), Oct 2020, (Online), France. ⟨hal-02904076v2⟩
114 Consultations
149 Téléchargements

Partager

Gmail Facebook X LinkedIn More