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VMDS abbreviates the relational database technology called Version Managed Data Store provided by GE Energy as part of its Smallworld technology platform and was designed from the outset to store and analyse the highly complex spatial and topological networks typically used by enterprise utilities such as power distribution and telecommunications.
The analysis highlights Art, Technology and Measurement as prominent areas in the source structure around VMDS.
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 VMDS shows recurring relationship patterns in the source. For example, VMDS → Each VMDS, In VMDS, JDBC, Magik, Queries, RWO, Smallworld, Tables, This Another extracted example is VMDS → API, Magik, Smallworld Master File Server, Spatial, SWMFS, This, When. 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.
data spatial relational database topological smallworld magik transaction attribute databases set called version designed server processing support long transactions client
TTTA extracted 38 structured relationships around VMDS. Examples in this analysis include power distribution → instance of → VMDS abbreviates the relational database technology called Version Managed Data Store provided by GE Energy as part of its Smallworld technology platform and was designed from t… and attribute querying → instance of → Spatial and topological capabilitiesAs well as conventional relational database features. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| power distribution | instance of | VMDS abbreviates the relational database technology called Version Managed Data Store provided by GE Energy as part of its Smallworld technology platform and was designed from t… | 0.80 | text |
| telecommunications.VMDS was originally introduced in 1990 as has been improved | instance of | VMDS abbreviates the relational database technology called Version Managed Data Store provided by GE Energy as part of its Smallworld technology platform and was designed from t… | 0.80 | text |
| updated over the years | instance of | VMDS abbreviates the relational database technology called Version Managed Data Store provided by GE Energy as part of its Smallworld technology platform and was designed from t… | 0.80 | text |
| attribute querying | instance of | Spatial and topological capabilitiesAs well as conventional relational database features | 0.80 | text |
| join fields | instance of | Spatial and topological capabilitiesAs well as conventional relational database features | 0.80 | text |
| triggers | instance of | Spatial and topological capabilitiesAs well as conventional relational database features | 0.80 | text |
| calculated fields | instance of | Spatial and topological capabilitiesAs well as conventional relational database features | 0.80 | text |
| VMDS has numerous spatial | instance of | Spatial and topological capabilitiesAs well as conventional relational database features | 0.80 | text |
| topological capabilities | instance of | Spatial and topological capabilitiesAs well as conventional relational database features | 0.80 | text |
| points | instance of | This allows spatial data | 0.80 | text |
| texts | instance of | This allows spatial data | 0.80 | text |
| polylines | instance of | This allows spatial data | 0.80 | text |
The concept neighborhoods around VMDS bring nearby vocabulary together. In this analysis, examples include Database, Data and Magik. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For VMDS, one of the stronger structural bridges in this analysis connects VMDS 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 VMDS to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Art, Technology & Measurement, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — VMDS · EN edition · Analysis: TopicsToTalkAbout