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YAP (Yet Another Prolog) is an open-source, high-performance implementation of the Prolog programming language developed at LIACC/Universidade do Porto and at COPPE Sistemas/UFRJ. Its Prolog engine is based in the WAM (Warren Abstract Machine), with several optimizations for better performance. YAP follows the Edinburgh tradition, and is largely…
Standards & Overview
Explore the main themes, entities and connections around YAP (Prolog). 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.
prolog yap developed performance programming language open-source ufrj yet another high-performance implementation liacc universidade porto coppe sistemas engine based wam
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| YAP (Prolog) | License | Perl Artistic License 2.0 | 1.00 | infobox |
| YAP (Prolog) | Operating system | Linux, Windows, Solaris, Mac OS X | 1.00 | infobox |
| YAP (Prolog) | Platform | Programming language | 1.00 | infobox |
| YAP (Prolog) | Preview release | 7.1 / 9 January 2016; 10 years ago (2016-01-09) | 1.00 | infobox |
| YAP (Prolog) | Repository | github.com/vscosta/yap | 1.00 | infobox |
| YAP (Prolog) | Stable release | 6.3.3 / 21 January 2013; 13 years ago (2013-01-21) | 1.00 | infobox |
| YAP (Prolog) | Website | www.dcc.fc.up.pt/~vsc/yap/ | 1.00 | infobox |
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.