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2. Graph database - Wikipedia

   en.wikipedia.org/wiki/Graph_database

   Graph databases are a powerful tool for graph-like queries. For example, computing the shortest path between two nodes in the graph. Other graph-like queries can be performed over a graph database in a natural way (for example graph's diameter computations or community detection).

3. Graph Query Language - Wikipedia

   en.wikipedia.org/wiki/Graph_Query_Language

   The RDF model has been standardized by W3C in a number of specifications. The Property Graph model, on the other hand, has a multitude of implementations in graph databases, graph algorithms, and graph processing facilities. However, a common, standardized query language for property graphs (like SQL for relational database systems) is missing.

4. Regular path query - Wikipedia

   en.wikipedia.org/wiki/Regular_path_query

   A graph database consists of a directed graph whose edges carry a label. A regular path query is just a regular expression over the set of labels. For instance, in a graph database where vertices represent users and there is an edge label "parent" for edges from a parent to a child, the regular path query would select pairs of a node x and a descendant y of x, with a path from x to y of ...

5. Resource Description Framework - Wikipedia

   en.wikipedia.org/wiki/Resource_Description_Framework

   The predominant query language for RDF graphs is SPARQL. SPARQL is an SQL-like language, and a recommendation of the W3C as of January 15, 2008. The following is an example of a SPARQL query to show country capitals in Africa, using a fictional ontology:

6. TerminusDB - Wikipedia

   en.wikipedia.org/wiki/TerminusDB

   GraphQL is implemented to allow users to query TerminusDB projects in such a way that deep linking can be discovered. [24] WOQL (web object query language) is a datalog-based query language. It allows TerminusDB to treat the database as a document store or a graph interchangeably, and provides query features to make relationship traversals easy ...

7. GraphQL - Wikipedia

   en.wikipedia.org/wiki/GraphQL

   GraphQL is a data query and manipulation language for APIs that allows a client to specify what data it needs ("declarative data fetching"). A GraphQL server can fetch data from separate sources for a single client query and present the results in a unified graph. [2] It is not tied to any specific database or storage engine.