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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.
The analysis highlights Art and Overview as prominent areas in the source structure around Yahoo Query Language.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
See recurring relationship patterns around Yahoo Query Language before inspecting the individual extracted relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
yahoo yql data apis access using 2009 tables api pipes key limits mashups guardian javascript query language sql-like created part
TTTA extracted 3 structured relationships around Yahoo Query Language. Examples in this analysis include Google Reader → instance of → February 2009 saw the addition of open data tables from third parties. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Google Reader | instance of | February 2009 saw the addition of open data tables from third parties | 0.80 | text |
| the Guardian | instance of | February 2009 saw the addition of open data tables from third parties | 0.80 | text |
| and The New York Times | instance of | February 2009 saw the addition of open data tables from third parties | 0.80 | text |
The concept neighborhoods around Yahoo Query Language bring nearby vocabulary together. In this analysis, examples include Created, Developer and Network. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Bridges highlight paths between different parts of the Yahoo Query Language map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Yahoo Query Language to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Art & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Yahoo Query Language · EN edition · Analysis: TopicsToTalkAbout