Difference between revisions of "CATTXT"

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Some hydrographic offices feel obliged to make the full text of a regulation available within a nautical publications dataset, because given the variety of special conditions and requirements in different countries, it is difficult or impossible to encode all the nuances of regulations using pre-defined allowed values. Others desire to encode summaries or brief extracts, because large blocks of text are more difficult to read and the most important information in regulations is the conditions under which the regulation applies and the corresponding required actions or constraints.  Further, a dataset may be viewed under different circumstances (such as navigation vs. planning modes), for which different levels of detail may be suitable. This attribute allows producers to designate the level of detail of the encoded text, so that multiple levels of detail can be made available in the same dataset and it is possible to applications to distinguish between levels of detail when appropriate.
 
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Comments:

Revision as of 07:30, 4 August 2011

Attribute: Category of text

acronym: CATTXT Code: ?

Camel case: categoryOfText

Attribute type: Simple

Data type: Enumeration


Expected input:

ID Meaning INT 1 M-4


1: Abstract or summary

2: An excerpt or excerpts from a text

3: Full text


Definitions:

Abstract or summary

A statement summarizing the important points of a text.

[Examples include: Anchoring forbidden; Pilot mandatory; Maximum Speed 9 knots; Wait until Green light exhibited; Under keel allowance 2.0 m.]


Extract

An excerpt or excerpts from a text.


Full text

The whole text


Remarks:


Distinction:


Justification:
Some hydrographic offices feel obliged to make the full text of a regulation available within a nautical publications dataset, because given the variety of special conditions and requirements in different countries, it is difficult or impossible to encode all the nuances of regulations using pre-defined allowed values. Others desire to encode summaries or brief extracts, because large blocks of text are more difficult to read and the most important information in regulations is the conditions under which the regulation applies and the corresponding required actions or constraints. Further, a dataset may be viewed under different circumstances (such as navigation vs. planning modes), for which different levels of detail may be suitable. This attribute allows producers to designate the level of detail of the encoded text, so that multiple levels of detail can be made available in the same dataset and it is possible to applications to distinguish between levels of detail when appropriate.

Comments:

No comments.



David others Raphael Jens
Y/N RF Y/N RR Y/N Y/N