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EXPRESS (data modeling language)

EXPRESS is a standard for generic data modeling language for product data. EXPRESS is formalized in the ISO Standard for the Exchange of Product model STEP (ISO 10303), and standardized as ISO 10303-11.

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Explore the main themes, entities and connections around EXPRESS (data modeling language). Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

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Overview

11 related topics

EXPRESS Building blocks

1 related topics

Topics to explore

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Overview

EXPRESS Building blocks

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

EXPRESS (data modeling language)

Nodes15
Edges14
Triples9
Avg. degree1.87
Density0.133333
Components1

How this topic connects Entity context

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Important terminology Word statistics

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

Important terminology

express data type attributes datatypes entity language value entities used defined possible express-g rules attribute real iso model standard product

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
SDAI the textual representation within an ASCII file is the most important oneinstance ofFor formal verification and as input for tools0.80text
explanationinstance ofThe graphical representation on the other hand is often more suitable for human use0.80text
tutorialsinstance ofThe graphical representation on the other hand is often more suitable for human use0.80text
Pascalinstance ofis not able to represent all details that can be formulated in the textual form.EXPRESS is similar to programming languages0.80text
redinstance ofEnumeration values are simple strings0.80text
greeninstance ofEnumeration values are simple strings0.80text
and blue for an rgb-enumerationinstance ofEnumeration values are simple strings0.80text
ONEOFinstance ofTo restrict the possible combinations special supertype constraints got introduced0.80text
TOTALOVERinstance ofTo restrict the possible combinations special supertype constraints got introduced0.80text

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
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