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Yahoo Query Language

Yahoo! Query Language (YQL) is an SQL-like query language created by Yahoo! as part of their Developer Network. YQL is designed to retrieve and manipulate data from APIs through a single Web interface, thus allowing mashups that enable developers to create their own applications using Yahoo! Pipes online tool.

Art & Overview

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Research this topic

Explore the main themes, entities and connections around Yahoo 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

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

Yahoo Query Language

Nodes15
Edges14
Triples3
Avg. degree1.87
Density0.133333
Components1

How this topic connects Entity context

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

Important terminology Word statistics

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

Important terminology

yahoo yql data apis access using 2009 tables api pipes key limits mashups guardian javascript query language sql-like created part

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Google Readerinstance ofFebruary 2009 saw the addition of open data tables from third parties0.80text
the Guardianinstance ofFebruary 2009 saw the addition of open data tables from third parties0.80text
and The New York Timesinstance ofFebruary 2009 saw the addition of open data tables from third parties0.80text

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.