Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
Visionware Ltd was a British software company that developed and marketed products that helped integration of Microsoft Windows clients to Unix-based server applications. It was based in Leeds in West Yorkshire. The three products it was most known for were PC-Connect, XVision, and SQL-Retriever.
The analysis highlights Products and Companies as prominent areas in the source structure around Visionware.
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.
Explore different angles and find fresh ideas to shape your next piece of content.
Search suggestions related to this topic. Open a question to research it further; suggestions are not verified answers.
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.
You can skip this section if you’re here for content ideas and keyword inspiration.
The extracted context around Visionware shows recurring relationship patterns in the source. For example, Visionware → And Visionware, Cambridge-based SCO, Client Integration Division, December, Denson, Inc, IXI, IXI Limited, IXI Visionware, Later, Ltd, Motif, OpenServer-based Unix, Santa Cruz Operation, SCO, SCO's, Systime, Tarantella, The Visionware, Vision Another extracted example is Visionware → British, Cold War-era, Control Data, Control Data Corporation, DEC, Digital Equipment Corporation, Eastern, June, Leeds-based Systime Computers, OEM, Systime, The Systime-Control Data. 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.
systime sco products windows company software acquired developed applications based operation leeds million ltd june 1989 1994 product server pc-connect
TTTA extracted 62 structured relationships around Visionware. Examples in this analysis include Visionware → Defunct → December 1994 and Visionware → Fate → Acquired by SCO. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Visionware | Defunct | December 1994 | 1.00 | infobox |
| Visionware | Fate | Acquired by SCO | 1.00 | infobox |
| Visionware | Founded | June 1989 | 1.00 | infobox |
| Visionware | Headquarters | Leeds, West Yorkshire, United Kingdom | 1.00 | infobox |
| Visionware | Industry | Computer software | 1.00 | infobox |
| Visionware | Key people | Tony Denson | 1.00 | infobox |
| Visionware | Key people | Chris Holmes | 1.00 | infobox |
| Visionware | Number of employees | 130 (1994) | 1.00 | infobox |
| Visionware | Products | Remote software | 1.00 | infobox |
| Visionware | Products | terminal software | 1.00 | infobox |
| Visionware | Products | database retrieval | 1.00 | infobox |
| Visionware | Revenue | $12 million (1994) | 1.00 | infobox |
| Visionware | Type | Private | 1.00 | infobox |
The concept neighborhoods around Visionware bring nearby vocabulary together. In this analysis, examples include Sco, Acquired and Million. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Visionware, one of the stronger structural bridges in this analysis connects Visionware with Independent company. 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 Visionware to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Products & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Visionware · EN edition · Analysis: TopicsToTalkAbout
