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Triple Stores

Triple Stores. What is a triple store?. A specialized database for RDF triples Supports a query language SPARQL is the W3C recommendation Other RDF query languages exist (e.g., RDQL) Might or might not do inferencing Most query languages don’t handle inserts

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Triple Stores

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  1. Triple Stores

  2. What is a triple store? • A specialized database for RDF triples • Supports a query language • SPARQL is the W3C recommendation • Other RDF query languages exist (e.g., RDQL) • Might or might not do inferencing • Most query languages don’t handle inserts • Triple stores might be in memory or provide a persistent backend • Presistence provided by a relational DBMS (e.g., mySQL) or a custom DB for efficiency.

  3. Example: HP’s Jena Framework • An OS Java system developed by HP • http://jena.sourceforge.net/ • Has internal reasoners and can work with DIG compliant reasoners or Pellet. • Supports SPARQL • Joseki is an add-on that provides a SPARQL endpoint via an HTTP interface

  4. SPARQL Example BASE <http://example.org/> PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> PREFIX foaf: <http://xmlns.com/foaf/0.1/> PREFIX ex: <properties/1.0#> SELECT DISTINCT $person ?name $age FROM <http://rdf.example.org/people.rdf> WHERE { $person a foaf:Person ; foaf:name ?name. OPTIONAL { $person ex:age $age } . FILTER ! REGEX(?name, "Bob") } LIMIT 3 ORDER BY ASC[?name]

  5. Example: Kowari • http://kowari.org/ • “An Open Source, massively scalable, transaction-safe, purpose-built database for the storage, retrieval and analysis of metadata” • Implemented in Java, not built on a conventional RDBMS • Developed by Tucana, which also had a commercial version • Tucana closed down in Fall 2005, Northrop Grumman purchased the rights to the commercial system

  6. Example: Sesame • Sesame is an open source RDF framework with support for RDFS inferencing and querying • http://www.openrdf.org/ • Implemented in Java • Query languages: SeRQL, RQL, RDQL • Triples can be stored in memory, on disk, or in a RDBMS

  7. Issues • Can we build efficient triple stores around conventional RDBMS technology? • What are the performance issues? • Load time? • Interfencing? • How well does is scale?

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