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Triplestore

A triplestore or RDF store is a purpose-built database for the storage and retrieval of triples through semantic queries. A triple is a data entity composed of subject–predicate–object, like "Bob is 35" (i.e., Bob's age measured in years is 35) or "Bob knows Fred".

Products, Implementations & Related database types

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Research this topic

Explore the main themes, entities and connections around Triplestore. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Implementations

SQLDocument-oriented databaseOnline analytical processing
3 related topics

Related database types

Named graphGraph database
2 related topics

Overview

DatabaseTriplesSemantic queriesSubjectPredicate
11 related topics

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Implementations

Related database types

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

Triplestore

Nodes20
Edges19
Triples22
Avg. degree1.9
Density0.1
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

Triplestore

Top relations

related to External links · 10
Triplestore → GroupSPARQL Query, How RDF Databases Differ, LUBM, March, Other NoSQL SolutionsW3C SPARQL, ProtocolSPARQL, RDF Data Access Working, University Benchmark, Update W3C Recommendation, Working Group
related to Implementations · 8
Triplestore → Like, NoSQL, OLAP, RDF, Some, SPARQL, SQL, SQL-based
related to Related database types · 4
Triplestore → Adding, Graph, RDF, Triplestores

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

database data rdf triples triplestores query sparql queries like relational language databases store semantic triple entity querying storage retrieval large

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Triplestorerelated to External linksUniversity Benchmark0.60section
Triplestorerelated to External linksLUBM0.60section
Triplestorerelated to External linksHow RDF Databases Differ0.60section
Triplestorerelated to External linksOther NoSQL SolutionsW3C SPARQL0.60section
Triplestorerelated to External linksWorking Group0.60section
Triplestorerelated to External linksRDF Data Access Working0.60section
Triplestorerelated to External linksGroupSPARQL Query0.60section
Triplestorerelated to External linksProtocolSPARQL0.60section
Triplestorerelated to External linksUpdate W3C Recommendation0.60section
Triplestorerelated to External linksMarch0.60section
Triplestorerelated to ImplementationsSome0.60section
Triplestorerelated to ImplementationsSQL-based0.60section

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
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