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roff je značkovací jazyk pro psaní na psacím stroji. Jedná se o první unixový sázecí program. Je předchůzdem systémů pro zpracování dokumentů nroff a troff. Roff byla unixová verze runoff programu pro formátování textu z Multics, což byl potomek RUNOFF pro CTSS.
The analysis highlights Historie, Odkazy and Overview as prominent areas in the source structure around Roff.
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.
The extracted context around Roff shows recurring relationship patterns in the source. For example, Roff → BCPL, CTSS, Douglas McIlroy, Jejich, Jerryho Saltzera, Když, Kenem Thompsonem, MAD, Multics, PDP-11, PDP-7, Robert Morris, RUNOFF, Saltzerova, Unix. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
první programu runoff multics ctss program systémů verze unixový sázecí nroff troff assembleru přepsán unix roce 1970 značkovací jazyk psaní
TTTA extracted 15 structured relationships around Roff. Examples in this analysis include Roff → related to Historie → RUNOFF and Roff → related to Historie → Jerryho Saltzera. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Roff | related to Historie | RUNOFF | 0.60 | section |
| Roff | related to Historie | Jerryho Saltzera | 0.60 | section |
| Roff | related to Historie | CTSS | 0.60 | section |
| Roff | related to Historie | Douglas McIlroy | 0.60 | section |
| Roff | related to Historie | Robert Morris | 0.60 | section |
| Roff | related to Historie | Multics | 0.60 | section |
| Roff | related to Historie | BCPL | 0.60 | section |
| Roff | related to Historie | Saltzerova | 0.60 | section |
| Roff | related to Historie | MAD | 0.60 | section |
| Roff | related to Historie | Jejich | 0.60 | section |
| Roff | related to Historie | Kenem Thompsonem | 0.60 | section |
| Roff | related to Historie | PDP-7 | 0.60 | section |
The concept neighborhoods around Roff bring nearby vocabulary together. In this analysis, examples include Ctss, Runoff and Verze. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Roff, one of the stronger structural bridges in this analysis connects Roff with Historie. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Roff to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Historie, Odkazy & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Roff · CS edition · Analysis: TopicsToTalkAbout