Function Repository Resource:

AddSemantics

Source Notebook

Automatically add semantics to structured data

Contributed by: Bob Sandheinrich

ResourceFunction["AddSemantics"][data]

automatically and semantically interprets the structured dataset data.

ResourceFunction["AddSemantics"][data,spec]

interprets data using the given spec.

Details and Options

The data must either be a Dataset or data supported by Dataset.

The specification spec takes the same values as SemanticImport and SemanticImportString.

Examples

Basic Examples (2)

Add semantics to an Association:

In[1]:=

Out[1]=

Add semantics to a Dataset:

In[2]:=

ResourceFunction["AddSemantics"][Dataset@{
<|"Time" -> "1:05 PM", "Amount" -> "10 kg"|>,
<|"Time" -> "1:22 PM", "Amount" -> "14 kg"|>,
<|"Time" -> "1:25 PM", "Amount" -> "16 kg"|>
}]

Out[2]=

Scope (4)

Use a flat Dataset:

In[3]:=

Out[3]=

Get a tabular Dataset:

In[4]:=

$data = Dataset[ AssociationThread[{"Destination", "Cost"} -> #] & /@ Rest@StringSplit[ StringSplit[Import["ExampleData/countries-currency", "Text"], "\n"], "\t"]]$

Out[4]=

Add semantics to the data:

In[5]:=

Out[5]=

A nested Dataset:

In[6]:=

ResourceFunction["AddSemantics"]@
Dataset[<| "Flour" -> <|"Amount" -> "400 ml", "Calories" -> 800, "Sugar" -> "0 grams"|>,
"Chocolate Chips" -> <|"Amount" -> "50 ml", "Calories" -> 100, "Sugar" -> "20 grams"|>,
"Butter" -> <|"Amount" -> "100 ml", "Calories" -> 400, "Sugar" -> "0 grams"|>
|>]

Out[6]=

Specify semantic type for tabular data:

In[7]:=

ResourceFunction["AddSemantics"][Dataset[{
<|"Amount" -> "400 ml", "Calories" -> 800, "Sugar" -> "0 grams"|>,
<|"Amount" -> "50 ml", "Calories" -> 100, "Sugar" -> "20 grams"|>,
<|"Amount" -> "100 ml", "Calories" -> 400, "Sugar" -> "0 grams"|>
}], {Automatic, Restricted["StructuredQuantity", "Calories"], Automatic}]

Out[7]=

Version History

2.0.0 – 04 June 2020
1.0.0 – 28 August 2019

Related Resources

License Information

This work is licensed under a Creative Commons Attribution 4.0 International License