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Explore the main themes, entities and connections around HOL (proof assistant). Start with the topic map, then use the sections below for research and deeper semantic analysis.
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Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
HOL implementations
Formal proof developments
Underlying logic
Overview
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
- Designed by
- Michael J C Gordon
- Filename extensions
- .sml
- License
- Modified (3-clause) BSD license
Topics to explore
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.Browse the full topic structure. Each item opens a new analysis centered on that subject.
Overview
- Interactive theorem proving systems Proof assistant
- Higher-order logic
- LCF LCF (theorem prover)
- Abstract data type
- Theorems Theorem
- Inference rules Inference rule
- ML ML (programming language)
Underlying logic
HOL implementations
- Mike Gordon Mike Gordon (computer scientist)
- Common Lisp
- Standard ML
- Coupled Coupling (computer programming)
- Moscow ML
- Poly/ML
- HOL Light
- Caml Light
- OCaml
- Z notation
Formal proof developments
- Lisp Lisp (programming language)
- Semantics Semantics (computer science)
- Machine code
- Power ISA
- ARM ARM architecture
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
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.HOL (proof assistant)
How this topic connects Entity context
Quick relationship hints grouped by predicate. Useful for spotting recurring semantic connections around the current entity.See the strongest relationship patterns around the current topic before diving into the raw triples.
HOL (proof assistant)
Top relations
Important terminology Word statistics
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
Important terminology
hol systems logic ml implementation implemented proven system family lcf top theorem proving higher-order theorems hol4 light use developed using
Entity relationships Subject–Predicate–Object triples
Extracted RDF-like relationships with confidence and source. The table includes structured facts and lower-confidence contextual relations.| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| HOL (proof assistant) | Designed by | Michael J C Gordon | 1.00 | infobox |
| HOL (proof assistant) | Filename extensions | .sml | 1.00 | infobox |
| HOL (proof assistant) | License | Modified (3-clause) BSD license | 1.00 | infobox |
| HOL (proof assistant) | Website | hol-theorem-prover.org | 1.00 | infobox |
Related concept clusters Concept neighborhoods
Clusters of nearby vocabulary surrounding the topic. Scan them for adjacent concepts and language you may have missed.These clusters group vocabulary that occurs around closely connected concepts in the source material.
Connections between topic areas Semantic bridges
Bridge nodes connect otherwise separate parts of the map. Expand a row to inspect the topic groups on each side.Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.