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XPages is an IBM implementation of JavaServer Faces with a server side JavaScript runtime and the built-in NoSQL database IBM Domino. It allows data from IBM Notes and relational databases to be displayed to browser clients on all platforms.
Community, Technology & Standards
Explore the main themes, entities and connections around XPages. Start with the topic map, then use the sections below for research and deeper semantic analysis.
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the full topic structure. 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 the strongest relationship patterns around the current topic before diving into the raw triples.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
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| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| XPages | Developer | IBM | 1.00 | infobox |
| XPages | Operating system | Multiple | 1.00 | infobox |
| XPages | Release | 2008 | 1.00 | infobox |
| XPages | Stable release | 9.0.1 | 1.00 | infobox |
| XPages | Type | Web application framework | 1.00 | infobox |
| XPages | Website | XPages.info | 1.00 | infobox |
| XPages | Written in | JavaScript, HTML, Java, JSF, Dojo Toolkit | 1.00 | infobox |
| XPages | is a | IBM implementation of JavaServer Faces with a server side JavaScript runtime and the built-in NoSQL database IBM Domino | 0.90 | text |
| the document-oriented database | instance of | including functionality | 0.80 | text |
| XPages | related to Backend technologies | The | 0.60 | section |
| XPages | related to Backend technologies | IBM Domino Designer | 0.60 | section |
| XPages | related to Backend technologies | With Designer | 0.60 | section |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.