Personalized Environment for Querying Semantic Knowledge Graphs: a MapReduce Solution

Mostafa Bamha (1) , Jacques Chabin (1) , Mirian Halfeld-Ferrari (2) , Béatrice Markhoff (3, 4) , Thanh Binh Nguyen (1)

1 LIFO - Laboratoire d'Informatique Fondamentale d'Orléans
2 LIFO - Laboratoire d'Informatique Fondamentale d'Orléans
3 BDTLN - Bases de données et traitement des langues naturelles
4 LIFAT - Laboratoire d'Informatique Fondamentale et Appliquée de Tours

Querying according to a personalised context is an increasingly required feature on semantic graph databases. We define contexts by using constraints imposed on queries and not on data sources. No correction trial is performed on an inconsistent database but answers are ensured to be valid. Data confidence according to provenance is also taken into account. As constraint validation and query evaluation are two independent modules, our approach can be tested with di↵erent query evaluators. This paper focus on a MapReduce query environment.

Mots clés: graph database; RDF; constraint; context; MapReduce

Domaines: Informatique [cs]

Mostafa Bamha, Jacques Chabin, Mirian Halfeld-Ferrari, Béatrice Markhoff, Thanh Binh Nguyen. Personalized Environment for Querying Semantic Knowledge Graphs: a MapReduce Solution. [Research Report] LIFO, Université d'Orléans. 2017. ⟨hal-01916736⟩