Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Query language

A query language, also known as data query language or database query language (DQL), is a computer language used to make queries in databases and information systems. In database systems, query languages rely on strict theory to retrieve information. A well known example is the Structured Query Language (SQL).

Examples, Types & Overview

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around Query language. 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.

Topics to explore

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

Overview

Types

Examples

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

Query language

Nodes94
Edges93
Triples98
Avg. degree1.98
Density0.021277
Components1

How this topic connects Entity context

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

Query language

Top relations

related to Examples · 81
Query language → Apache Software Foundation, AQL, ArangoDB, Attempto Controlled English, Azure Data ExplorerLDAP, Bing, CodeQL, Consists, Contextual Query Language, Couchbase Servers, Couchbase's, CQL, Cypher, Datalog, DB, Despite, DMX, F-logic, Facebook, Formula
related to Types · 14
Query language → AND, Boolean, Broadly, CFG, Full-text, Natural, NOT, Only, OR, Other, Question, Structured, The, Web
is a · 1
Query language → special query language designed to analyze annotated text

Important terminology Word statistics

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

Important terminology

language query data used database information databases queries systems also relational sql documents search languages use graph declarative retrieve structured

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Query languageis aspecial query language designed to analyze annotated text0.90text
web indexes or bibliographic catalogues.Cypher is a query language for the Neo4j graph database.DMX is a query language for data mining models.Datalog is a query language for deductive databases.F-logic is a declarative object-oriented language for deductive databasesinstance ofa formal language for representing queries to information retrieval systems0.80text
knowledge representation.FQL enables you to use a SQL-style interface to query the data exposed by the Graph APIinstance ofa formal language for representing queries to information retrieval systems0.80text
Query languagerelated to ExamplesAttempto Controlled English0.60section
Query languagerelated to ExamplesAQL0.60section
Query languagerelated to ExamplesArangoDB0.60section
Query languagerelated to ExamplesQL0.60section
Query languagerelated to ExamplesDatalog0.60section
Query languagerelated to ExamplesCodeQL0.60section
Query languagerelated to ExamplesGitHub0.60section
Query languagerelated to ExamplesContextual Query Language0.60section
Query languagerelated to ExamplesCQL0.60section

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
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.