Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
The Control Language (CL) is a scripting language originally created by IBM for the System/38 Control Program Facility and later used in OS/400 (now known as IBM i). It bears a resemblance to the IBM Job Control Language and consists of a set of command objects (*CMD) used to invoke traditional programs or get help on what those programs do. CL can also…
The analysis highlights Commands and programs, Syntax and Prompting as prominent areas in the source structure around Control Language.
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 Control Language shows recurring relationship patterns in the source. For example, Control Language → CHG, CLLE, CLP, Control Language Programming, CRT, DSP, GO SUBJECT, GO VERB, ILE, Likewise, MOD, PGM, SUBJECT, Subjects, SVR, The IBM, USR, VERB, Verbs, With Another extracted example is Control Language → IBM. 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.
command parameters program commands system parameter ibm cl programs language used help values user also would control list type value
TTTA extracted 28 structured relationships around Control Language. Examples in this analysis include Control Language → Designed by → IBM and Control Language → First appeared → 1978; 48 years ago (1978). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Control Language | Designed by | IBM | 1.00 | infobox |
| Control Language | Developer | IBM | 1.00 | infobox |
| Control Language | First appeared | 1978; 48 years ago (1978) | 1.00 | infobox |
| Control Language | License | Proprietary | 1.00 | infobox |
| Control Language | OS | Control Program Facility, IBM i | 1.00 | infobox |
| Control Language | Paradigm | imperative | 1.00 | infobox |
| Control Language | related to Standardized abbreviations | The IBM | 0.60 | section |
| Control Language | related to Standardized abbreviations | Verbs | 0.60 | section |
| Control Language | related to Standardized abbreviations | CHG | 0.60 | section |
| Control Language | related to Standardized abbreviations | DSP | 0.60 | section |
| Control Language | related to Standardized abbreviations | WRK | 0.60 | section |
| Control Language | related to Standardized abbreviations | CRT | 0.60 | section |
The concept neighborhoods around Control Language bring nearby vocabulary together. In this analysis, examples include Language, Os and Ibm. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Control Language, one of the stronger structural bridges in this analysis connects Control Language with Overview. 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 Control Language to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Commands and programs, Syntax & Prompting, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Control Language · EN edition · Analysis: TopicsToTalkAbout