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CODASYL: History, Standards & Products
CODASYL (Conference/Committee on Data Systems Languages) was a consortium formed in 1959 to guide the development of a standard programming language that could be used on many computers. This effort led to the development of the programming language COBOL, the CODASYL Data Model, and other technical standards.
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CODASYL topic overview
The analysis highlights History, Standards and Products as prominent areas in the source structure around CODASYL.
Related topics
82
Source areas
2
Connected nodes
84
Extracted relationships
61
Concept neighborhoods
30
Bridge connections
84
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.
History · 65 topics
Overview · 17 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.
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
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.
How CODASYL connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around CODASYL shows recurring relationship patterns in the source. For example, CODASYL → American National Standards Institute, Charles Babbage Institute, COBOL, Collection, Conference, Data Base Systems, Data Systems Languages, Data Systems Languages Records, Development, Journal, May, Minnesota, NDL, Nice Standard Control Language, NICOLA, SQL, Survey, Survey Report, The, The ANSI X3H2 Committee Another extracted example is CODASYL → Atkinson, Bell, Congress Control Number, CUP, Data Base Management, Database Systems, Databases, Gray, Hellerstein, ISBN, Knowles, Library, Michael Stonebraker, Page, Readings, Role, Stocker, Structure, The Codasyl Approach, The Codasyl Model. Use these groups to spot repeated connection types before inspecting the individual relationships.
CODASYL
Top relations
related to External links· 23
CODASYL → American National Standards Institute, Charles Babbage Institute, COBOL, Collection, Conference, Data Base Systems, Data Systems Languages, Data Systems Languages Records, Development, Journal, May, Minnesota, NDL, Nice Standard Control Language, NICOLA, SQL, Survey, Survey Report, The, The ANSI X3H2 Committee
related to Further reading· 23
CODASYL → Atkinson, Bell, Congress Control Number, CUP, Data Base Management, Database Systems, Databases, Gray, Hellerstein, ISBN, Knowles, Library, Michael Stonebraker, Page, Readings, Role, Stocker, Structure, The Codasyl Approach, The Codasyl Model
related to Database activities· 15
CODASYL → Although, Charles Bachman's IDS, COBOL, CODASYL Data Model, Data Base Task Group, DBTG, DDL, DML, IBM's, In, In October, January, List Processing Task Force, PL/I, This
Important terminology
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.
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 61 structured relationships around CODASYL. Examples in this analysis include CODASYL → related to Database activities → In and CODASYL → related to Database activities → List Processing Task Force. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
CODASYL
related to Database activities
In
0.60
section
CODASYL
related to Database activities
List Processing Task Force
0.60
section
CODASYL
related to Database activities
This
0.60
section
CODASYL
related to Database activities
COBOL
0.60
section
CODASYL
related to Database activities
Charles Bachman's IDS
0.60
section
CODASYL
related to Database activities
Data Base Task Group
0.60
section
CODASYL
related to Database activities
DBTG
0.60
section
CODASYL
related to Database activities
January
0.60
section
CODASYL
related to Database activities
In October
0.60
section
CODASYL
related to Database activities
CODASYL Data Model
0.60
section
CODASYL
related to Database activities
DDL
0.60
section
CODASYL
related to Database activities
DML
0.60
section
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around CODASYL bring nearby vocabulary together. In this analysis, examples include Data, Database and Development. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
CODASYL
Data
Database
Development
Model
Standard
Systems
Language
Specifications
Committee
Control
Formed
Languages
codasyl
Data
Database
Development
Model
Standard
Systems
Language
Specifications
Committee
Control
Formed
Languages
programming language
Language
Programming
Cobol
New
Languages
Standard
Database
Work
Used
Group
Computer
Would
cobol
Language
Programming
Development
Committee
Codasyl
Data
Rca
Comtran
Specifications
Database
Work
Used
data processing activity
Processing
Systems
Included
Programs
Database
Model
Programming
Languages
Standard
Language
Cobol
Development
programming languages were proliferating
Language
Programming
Systems
New
Used
Cobol
Database
Control
Formed
Group
Computer
Comtran
steering committee
Short-range
Language
Languages
Data
Cobol
Standard
Specifications
Programming
Members
Comtran
Meeting
Systems
design by committee
Short-range
Language
Languages
Data
Cobol
Standard
Specifications
Programming
Members
Comtran
Meeting
Systems
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For CODASYL, one of the stronger structural bridges in this analysis connects CODASYL with History. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
CODASYL
Nodes85
Edges84
Triples61
Avg. degree1.98
Density0.023529
Components1
Source & methodology
TTTA analyzes the structure around CODASYL to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Standards & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
