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  2. List of SPARQL implementations - Wikipedia

    en.wikipedia.org/wiki/List_of_SPARQL_implementations

    List of SPARQL implementations available for querying and manipulating RDF data.

  3. Cypher (query language) - Wikipedia

    en.wikipedia.org/wiki/Cypher_(query_language)

    Cypher is a declarative graph query language that allows for expressive and efficient data querying in a property graph. [1]Cypher was largely an invention of Andrés Taylor while working for Neo4j, Inc. (formerly Neo Technology) in 2011. [2]

  4. Graph Query Language - Wikipedia

    en.wikipedia.org/wiki/Graph_Query_Language

    This query would return the city of residence of each person in the graph with residential information, and, if an EU national, which country they come from. Queries are therefore able to first project a sub-graph of the graph input into the query, and then extract the data values associated with that subgraph.

  5. SPARQL - Wikipedia

    en.wikipedia.org/wiki/SPARQL

    The SPARQL query processor will search for sets of triples that match these four triple patterns, binding the variables in the query to the corresponding parts of each triple. Important to note here is the "property orientation" (class matches can be conducted solely through class-attributes or properties – see Duck typing ).

  6. Neo4j - Wikipedia

    en.wikipedia.org/wiki/Neo4j

    Neo4j is a graph database management system (GDBMS) developed by Neo4j Inc. The data elements Neo4j stores are nodes , edges connecting them, and attributes of nodes and edges.

  7. Category:SPARQL - Wikipedia

    en.wikipedia.org/wiki/Category:SPARQL

    SPARQL Syntax Expressions This page was last edited on 17 January 2021, at 09:01 (UTC). Text is available under the Creative Commons Attribution ...

  8. SPARQL Syntax Expressions - Wikipedia

    en.wikipedia.org/wiki/SPARQL_Syntax_Expressions

    SPARQL Syntax Expressions (alternatively, SPARQL S-Expressions) is a parse tree (a.k.a. concrete syntax) for representing SPARQL Algebra expressions. Application

  9. Delete (SQL) - Wikipedia

    en.wikipedia.org/wiki/Delete_(SQL)

    DELETE requires a shared table lock; Triggers fire; DELETE can be used in the case of: database link; DELETE returns the number of records deleted; Transaction log - DELETE needs to read records, check constraints, update block, update indexes, and generate redo / undo. All of this takes time, hence it takes time much longer than with TRUNCATE