Managing RDF data with graph databases
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This document discusses three methods for storing and querying RDF data using graph databases: universal, rigid, and flexible. The universal method uses a simple and unique data structure. The rigid method is schema-based. The flexible method is schema-adaptable. A preliminary prototype was created using the flexible method, which works better than the other two methods for some query types. Requirements for further development include a formal property graph data model definition and a standard query language.
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Sparql querying of-property-graphs-harsh thakkar-graph day 2017 sf
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This allows a user, who is well versed in SPARQL, to access and query a wide variety of Graph Data Management Systems (DMSs) avoiding the steep learning curve for adapting to a new Graph Query Language (GQL). Gremlin is a graph computing system agnostic traversal language (covering both OLTP graph database or OLAP graph processors), making it a desirable choice for supporting interoperability for querying Graph DMSs.
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What flavor of metadata is best for your collection?
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- 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
- 2. Motivation Triple Stores Graph Databases
- 3. Motivation Triple Stores Graph DatabasesGraph-based RDF database
- 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
- 6. Rigid storing method NodeType: Person —————————— fname : String NodeType: Webpage —————————— url : String EdgeType: like sn:Person rdfs:Class sn:Webpagesn:like rdfs:domain rdfs:range rdf:type rdf:type rdfs:Literalsn:fnamerdfs:domain rdfs:range
- 7. Flexible storing method Property Graph Schema RDF Data Emergent RDF Schema Schema discovery Schema translation
- 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