Titre :

Revisiting Semiring Provenance for Datalog

Auteur(s) :

Bourgaux, Camille [Auteur]
Value from Data [VALDA]
Bourhis, Pierre [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Self-adaptation for distributed services and large software systems [SPIRALS]
Peterfreund, Liat [Auteur]
Laboratoire d'Informatique Gaspard-Monge [LIGM]
Thomazo, Michaël [Auteur]
Value from Data [VALDA]

Titre de la manifestation scientifique :

KR 2022 - 19th International Conference on Principles of Knowledge Representation and Reasoning

Ville :

Haifa

Pays :

Israël

Date de début de la manifestation scientifique :

2022-07-31

Titre de la revue :

Proceedings of the 19th International Conference on Principles of Knowledge Representation and Reasoning

Discipline(s) HAL :

Informatique [cs]/Logique en informatique [cs.LO]
Informatique [cs]/Base de données [cs.DB]
Informatique [cs]/Intelligence artificielle [cs.AI]

Résumé en anglais : [en]

Data provenance consists in bookkeeping meta information during query evaluation, in order to enrich query results with their trust level, likelihood, evaluation cost, and more. The framework of semiring provenance abstracts ...
Lire la suite >Data provenance consists in bookkeeping meta information during query evaluation, in order to enrich query results with their trust level, likelihood, evaluation cost, and more. The framework of semiring provenance abstracts from the specific kind of meta information that annotates the data. While the definition of semiring provenance is uncontroversial for unions of conjunctive queries, the picture is less clear for Datalog. Indeed, the original definition might include infinite computations, and is not consistent with other proposals for Datalog semantics over annotated data. In this work, we propose and investigate several provenance semantics, based on different approaches for defining classical Datalog semantics. We study the relationship between these semantics, and introduce properties that allow us to analyze and compare them.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Projet ANR :

Requêtes Ontologiques Complexes sur des Fédérations de Données Hétérogènese

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL