Research any topic before you write.

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

YAP (Prolog): Standards & Overview

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…

Language: English [EN]
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
100%
More settings
100% 100% 100% 100% 100%

YAP (Prolog) topic overview

The analysis highlights Standards and Overview as prominent areas in the source structure around YAP (Prolog).

Related topics
9
Source areas
1
Connected nodes
10
Extracted relationships
7
Concept neighborhoods
10
Bridge connections
10

What this topic covers Research coverage

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.

Overview · 9 topics

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.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

License
Perl Artistic License 2.0
Operating system
Linux, Windows, Solaris, Mac OS X
Platform
Programming language
Preview release
7.1 / 9 January 2016; 10 years ago (2016-01-09)
Repository
github.com/vscosta/yap
Stable release
6.3.3 / 21 January 2013; 13 years ago (2013-01-21)

Explore all related topics Closing gaps

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.

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.

How YAP (Prolog) connects Entity context

The extracted context around YAP (Prolog) shows recurring relationship patterns in the source. For example, YAP (Prolog) → Perl Artistic License 2.0 Another extracted example is YAP (Prolog) → Linux, Windows, Solaris, Mac OS X. Use these groups to spot repeated connection types before inspecting the individual relationships.

YAP (Prolog)

Top relations

License · 1
YAP (Prolog) → Perl Artistic License 2.0
Operating system · 1
YAP (Prolog) → Linux, Windows, Solaris, Mac OS X
Platform · 1
YAP (Prolog) → Programming language
Preview release · 1
YAP (Prolog) → 7.1 / 9 January 2016; 10 years ago (2016-01-09)
Repository · 1
YAP (Prolog) → github.com/vscosta/yap
Stable release · 1
YAP (Prolog) → 6.3.3 / 21 January 2013; 13 years ago (2013-01-21)
Website · 1
YAP (Prolog) → www.dcc.fc.up.pt/~vsc/yap/

Important terminology

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

Important terminology

prolog yap developed performance programming language open-source ufrj yet another high-performance implementation liacc universidade porto coppe sistemas engine based wam

YAP (Prolog) relationships Subject–Predicate–Object triples

TTTA extracted 7 structured relationships around YAP (Prolog). Examples in this analysis include YAP (Prolog) → License → Perl Artistic License 2.0 and YAP (Prolog) → Operating system → Linux, Windows, Solaris, Mac OS X. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
YAP (Prolog)LicensePerl Artistic License 2.01.00infobox
YAP (Prolog)Operating systemLinux, Windows, Solaris, Mac OS X1.00infobox
YAP (Prolog)PlatformProgramming language1.00infobox
YAP (Prolog)Preview release7.1 / 9 January 2016; 10 years ago (2016-01-09)1.00infobox
YAP (Prolog)Repositorygithub.com/vscosta/yap1.00infobox
YAP (Prolog)Stable release6.3.3 / 21 January 2013; 13 years ago (2013-01-21)1.00infobox
YAP (Prolog)Websitewww.dcc.fc.up.pt/~vsc/yap/1.00infobox

Related concept clusters Concept neighborhoods

The concept neighborhoods around YAP (Prolog) bring nearby vocabulary together. In this analysis, examples include Developed, Language and Programming. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • YAP (Prolog)
    • Developed
    • Language
    • Programming
    • Prolog
    • Yap
    • Performance
    • Another
    • Compatible
    • Coppe
    • Edinburgh
    • Follows
    • High-performance
  • yap (prolog)
    • Developed
    • Language
    • Programming
    • Prolog
    • Yap
    • Performance
    • Another
    • Compatible
    • Coppe
    • Edinburgh
    • Follows
    • High-performance
  • prolog
    • Yap
    • Language
    • Performance
    • Programming
    • Coppe
    • Engine
    • High-performance
    • Implementation
    • Liacc
    • Open-source
    • Porto
    • Quintus
  • quintus prolog
    • Sicstus
    • Standard
    • Tradition
    • Yap
    • Language
    • Performance
    • Programming
    • Coppe
    • Engine
    • High-performance
    • Implementation
    • Liacc
  • sicstus prolog
    • Standard
    • Tradition
    • Yap
    • Language
    • Performance
    • Programming
    • Coppe
    • Engine
    • High-performance
    • Implementation
    • Liacc
    • Open-source
  • open-source
    • Coppe
    • High-performance
    • Implementation
    • Liacc
    • Porto
    • Sistemas
    • Ufrj
    • Universidade
    • Yet
    • Developed
    • Language
    • Programming
  • programming language
    • Language
    • Programming
    • Coppe
    • Liacc
    • Open-source
    • Porto
    • Sistemas
    • Ufrj
    • Universidade
    • Yap
    • Yet
    • Prolog
  • warren abstract machine
    • Abstract
    • Based
    • Better
    • Engine
    • Machine
    • Optimizations
    • Several
    • Wam
    • Warren
    • Performance
    • Prolog

Connections between topic areas Semantic bridges

Bridges highlight paths between different parts of the YAP (Prolog) map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

Map overview Semantic statistics

YAP (Prolog)

Nodes11
Edges10
Triples7
Avg. degree1.82
Density0.181818
Components1

Source & methodology

TTTA analyzes the structure around YAP (Prolog) to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Standards & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — YAP (Prolog) · EN edition · Analysis: TopicsToTalkAbout

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