Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
Cullinet was a software company whose products included the database management system IDMS and the integrated software package Goldengate. In 1989, the company was bought by Computer Associates. Cullinet was founded in Arlington, Massachusetts and later headquartered at 400 Blue Hill Drive in Westwood, Massachusetts.
The analysis highlights History, Products, Art and Technology as prominent areas in the source structure around Cullinet.
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 Cullinet shows recurring relationship patterns in the source. For example, Cullinet → AICorp, America's Model, Andrew, Andrew Filipowski, Another, Applied Data Research's DATACOM/DB, As, Barclays Bank, BFGoodrich, Bill Curtis, Bill Linn, Bob Davis, Bob Goldman, CEO, Cincom's Total, Computer Corporation, Computer Pictures, Cullinane, Cullinane Database Systems, Cullinet Software Another extracted example is Cullinet → At, Bob Goldman, By, CEO, Chapman, Codd, Cullinane, Data General, Date, David Chapman, DBMS, Digital Equipment Corporation's VAX, Eventually, IBM, In, John Cullinane, The, VAX. 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.
company idms software cullinane system ibm products john computer first database data systems management called inc integrated later new developed
TTTA extracted 97 structured relationships around Cullinet. Examples in this analysis include Cullinet → Defunct → 1989 (1989) and Cullinet → Fate → Acquired. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Cullinet | Defunct | 1989 (1989) | 1.00 | infobox |
| Cullinet | Fate | Acquired | 1.00 | infobox |
| Cullinet | Founded | 1968 (1968) | 1.00 | infobox |
| Cullinet | Founder | John Cullinane and Larry English | 1.00 | infobox |
| Cullinet | Headquarters | 400 Blue Hill Avenue, Westwood, Massachusetts, United States | 1.00 | infobox |
| Cullinet | Industry | Software company | 1.00 | infobox |
| Cullinet | Predecessor | Cullinane Corporation | 1.00 | infobox |
| Cullinet | Successor | Computer Associates | 1.00 | infobox |
| Digital Equipment Corporation's VAX line of computers | instance of | Chapman attempted to move the company to the more and more powerful minicomputers | 0.80 | text |
| Cullinet | related to 1970s | As | 0.60 | section |
| Cullinet | related to 1970s | BFGoodrich | 0.60 | section |
| Cullinet | related to 1970s | Naomi | 0.60 | section |
The concept neighborhoods around Cullinet bring nearby vocabulary together. In this analysis, examples include John, Years and Software. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Cullinet, one of the stronger structural bridges in this analysis connects Cullinet 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.
TTTA analyzes the structure around Cullinet to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Products, Art & Technology, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Cullinet · EN edition · Analysis: TopicsToTalkAbout