Posted on Wednesday, October 31st, 2012 at 10:17 am by Diamond Jim
This is an unsolicited email I received this morning. It is not only ambiguous and machine-generated, but it is so cryptic that only someone understand the acronyms and "code" could possibly understand or use it. I enclose it here for your pleasure.
Data requirements usually refer to different data items. When we look at a table we usually have at least four types of data items, (1) columns, (2) rows, (3) schemata, and (4) the table/spreadsheet itself.
In Semantic Web environments, we can compare columns to properties, rows to instances, schemata to ontologies, and tables to classes. Data requirements can usually be related to one of these elements. In particular, there are
data requirements related to the values of a single property (column)
data requirements related to the values of multiple properties within an instance (multiple columns in a row)
data requirements related to the instances of a whole class (table)
data requirements related to the ontology elements (schema)
With the DQM-Vocabulary, you can model the first three types of requirements. Schema/ontology requirements are currently not part of the vocabulary, but may be added in future releases. In the following, we explain how Property-, Multi-Property-, Class-, and Custom-Requirements can be modelled with the current version of the DQM-Vocabulary.
Thanks & Regards