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A representation term is a word, or a combination of words, that semantically represent the data type (value domain) of a data element. A representation term is commonly referred to as a class word by those familiar with data dictionaries. ISO/IEC 11179-5:2005 defines representation term as a designation of an instance of a representation class As used…
The analysis highlights Standards and Applications as prominent areas in the source structure around Representation term.
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.
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The extracted context around Representation term shows recurring relationship patterns in the source. For example, Representation term → Amounts, Code, Dimensional, GJXDM, Indicator, Many, Measures, NIEM, Representation, Representation Terms, Standards, Tools, UDEF, Use, XML Another extracted example is Representation term → Date, Family, Given, ID, Name, PersonBirthDate, PersonID, Representation, XML 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.
representation data terms term element used elements class value example metadata standards xml iso type use universal set word suffix
TTTA extracted 88 structured relationships around Representation term. Examples in this analysis include Representation term → is a → word and PersonSexCode the code suffix might assist the two systems to only match data elements that have the suffix → instance of → if system A has a Data Element such as PersonGenderCode and system B has a data element. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Representation term | is a | word | 0.90 | text |
| PersonSexCode the code suffix might assist the two systems to only match data elements that have the suffix | instance of | if system A has a Data Element such as PersonGenderCode and system B has a data element | 0.80 | text |
| PersonBirthDate | instance of | a separate data elements should be used | 0.80 | text |
| PersonBirthTime.Finding data warehouse dimensions | instance of | a separate data elements should be used | 0.80 | text |
| measuresWhen creating a data warehouse | instance of | a separate data elements should be used | 0.80 | text |
| a business analyst looks at the Representation Terms to quickly find the dimensions | instance of | a separate data elements should be used | 0.80 | text |
| measures of a subject matter in order to build OLAP cubes | instance of | a separate data elements should be used | 0.80 | text |
| the Universal Data Element Framework | instance of | and private sector as the basis for data modeling.Universal Data Element FrameworkSome informal standards | 0.80 | text |
| PersonBirthTime | instance of | a separate data elements should be used | 0.80 | text |
| the Universal Data Element Framework | instance of | Universal Data Element FrameworkSome informal standards | 0.80 | text |
| NIEM or GJXDM 3.0 | instance of | Sample representation termsThe following are samples of Representation Terms that have been used for the exchange of electronic messages in systems | 0.80 | text |
| Code | instance of | Representation terms | 0.80 | text |
The concept neighborhoods around Representation term bring nearby vocabulary together. In this analysis, examples include Data, Terms and Term. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Representation term, one of the stronger structural bridges in this analysis connects Representation term 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 Representation term to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Standards & Applications, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Representation term · EN edition · Analysis: TopicsToTalkAbout