Title :

Revisiting Semiring Provenance for Datalog

Author(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]

Conference title :

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

City :

Haifa

Country :

Israël

Start date of the conference :

2022-07-31

Journal title :

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

HAL domain(s) :

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

English abstract : [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 ...
Show more >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.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

ANR Project :

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