* I import tables of time-series data from spreadsheets. The application transforms (abstracts) the time series data using SPARQL queries to feed downstream models/modelers.
I have a question relative to best practices for naming the elements like this (or not naming them). I use an instance name pattern of MeasurementSourceName_dateTimeMeasured so I get URI's like http://www.mycompanyname.com/owl/2009/12/fieldName#hughes_13_horizontal_20081221T123000 This is quite a long URI pattern repeated for thousands of points - Does it matter? I have tried numbering the points "_P#", but this would cause issues for inserting new points into the series and I would have to start subsequent imports from the highest point number + 1. Would it be better to use anonymous instances? Would there be a loss of functionality? Is it possible to have the spreadsheet importer create its own unique instance names automatically or create anonymous instances? Regards Arthur >From User Manual "Pattern for instance names:* This defines the pattern that instance names are created with, when they are imported. In this example, it is *%2-%1*, which means that an instance name would look like [name of a column #2 item]-[name of a column #1 item]. If there are items *John* in column #1, and *Doe* in column #2 in the same row, then this would be created as * Doe-John*."--
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