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Triple Stores

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Most query languages don't handle inserts ... Tucana closed down in Fall 2005, Northrop Grumman purchased the rights to the commercial system ... – PowerPoint PPT presentation

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Title: Triple Stores


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 dont 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 HPs 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 lthttp//example.org/gt
  • PREFIX rdf lthttp//www.w3.org/1999/02/22-rdf-synt
    ax-nsgt
  • PREFIX foaf lthttp//xmlns.com/foaf/0.1/gt
  • PREFIX ex ltproperties/1.0gt
  • SELECT DISTINCT person ?name age
  • FROM lthttp//rdf.example.org/people.rdfgt
  • WHERE person a foafPerson
  • foafname ?name.
  • OPTIONAL person exage 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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