[Webinar] SpiraTest - Setting New Standards in Quality Assurance
Managing RDF data with graph databases
1. Managing RDF data
with graph databases
!
Renzo Angles
Sergio Silva
Mauricio Orellana
Department of Computer Science - Universidad de Talca (Chile)
Chilean Center for Semantic Web Research
www.ciws.cl
!
3rd Workshop on Graph-based Technologies and Applications (Graph-TA)
Barcelona, March 18, 2015
4. Objectives and proposal
• Objective: to study methods for storing and querying RDF data
using graph databases
• Three storing methods:
• universal (simple and unique structure)
• rigid (schema-based)
• flexible (schema-adaptable)
5. Universal storing method
NodeType: Resource
——————————
id : String
isBlank : boolean
NodeType: Literal
——————————
value : String
EdgeType: Relation
————————-
uri : String
EdgeType: Attribute
————————-
uri : String
RDF Data
Data transformation
9. Preliminary conclusions
• The flexible method works better than the universal
and rigid ones
• The prototype improves Jena TDB for some types of
queries
• Requirements
• A formal definition of the property graph data model
• A standard property graph query language
10. Managing RDF data
with graph databases
!
Renzo Angles
rangles@utalca.cl
Department of Computer Science - Universidad de Talca (Chile)
Chilean Center for Semantic Web Research
www.ciws.cl