Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

VMDS

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.

Art, Technology & Measurement

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around VMDS. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Spatial and topological capabilities

Voronoi polygonsCluster analysisTravelling salesman problem
3 related topics

Distributed server processing

APIMagik
2 related topics

Support for long transactions

Short transactions
1 related topics

Data abstraction

JDBC
1 related topics

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Distributed server processing

  • API Application programming interface
  • Magik Magik programming language

Support for long transactions

Spatial and topological capabilities

Data abstraction

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

VMDS

Nodes16
Edges15
Triples38
Avg. degree1.88
Density0.125
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

VMDS

Top relations

related to Data abstraction · 9
VMDS → Each VMDS, In VMDS, JDBC, Magik, Queries, RWO, Smallworld, Tables, This
related to Distributed server processing · 7
VMDS → API, Magik, Smallworld Master File Server, Spatial, SWMFS, This, When
related to Spatial and topological capabilities · 4
VMDS → As, Spatial, This, Voronoi
related to Support for long transactions · 2
VMDS → Relational, These

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

data spatial relational database topological smallworld magik transaction attribute databases set called version designed server processing support long transactions client

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
power distributioninstance ofVMDS 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…0.80text
telecommunications.VMDS was originally introduced in 1990 as has been improvedinstance ofVMDS 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…0.80text
updated over the yearsinstance ofVMDS 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…0.80text
attribute queryinginstance ofSpatial and topological capabilitiesAs well as conventional relational database features0.80text
join fieldsinstance ofSpatial and topological capabilitiesAs well as conventional relational database features0.80text
triggersinstance ofSpatial and topological capabilitiesAs well as conventional relational database features0.80text
calculated fieldsinstance ofSpatial and topological capabilitiesAs well as conventional relational database features0.80text
VMDS has numerous spatialinstance ofSpatial and topological capabilitiesAs well as conventional relational database features0.80text
topological capabilitiesinstance ofSpatial and topological capabilitiesAs well as conventional relational database features0.80text
pointsinstance ofThis allows spatial data0.80text
textsinstance ofThis allows spatial data0.80text
polylinesinstance ofThis allows spatial data0.80text

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.