conversion:subject_template

See conversion:Enhancement.

(NOTE: subject_template will be the new predicate but is not recognized yet; use domain_template for now)

@prefix conversion: <http://purl.org/twc/vocab/conversion/> .
@prefix :      <http://logd.tw.rpi.edu/source/data-gov/dataset/financial-yahoo/version/2009-May-18/params/enhancement/1/> .

:dataset a void:Dataset;
   conversion:base_uri           "http://logd.tw.rpi.edu"^^xsd:anyURI;
   conversion:source_identifier  "data-gov";
   conversion:dataset_identifier "financial-yahoo";
   conversion:dataset_version    "2009-May-18";
   conversion:conversion_process [
      a conversion:RawConversionProcess;
      conversion:enhancement_identifier "1";
      conversion:enhance [
         <font color="#FF0000">conversion:domain_template "[#1]-[#3]-[#4]"</font>; # Only one is needed; they are equivalent.
      ];
      conversion:enhance [
         ov:csvCol         1;
         <font color="#FF0000">conversion:domain_template "[.]-[#3]-[#4]"</font>;  # Only one is needed; they are equivalent.
      ];

@prefix financial-yahoo: <http://logd.tw.rpi.edu/source/data-gov/dataset/financial-yahoo/version/2009-May-18/> .
@prefix raw:             <http://logd.tw.rpi.edu/source/data-gov/dataset/financial-yahoo/vocab/raw/> .

financial-yahoo:thing_2
  raw:symbol          "CLK10.NYM" ;
  raw:last_trade_date "4/7/2010" ;
  raw:last_trade_time "8:48am" ;
  ov:csvRow 2 .

becomes

@prefix e1:              <http://logd.tw.rpi.edu/source/data-gov/dataset/financial-yahoo/vocab/enhancement/1/> .

<font color="#FF0000">financial-yahoo:CLK10_NYM_4_7_2010_8_48am</font>
  raw:symbol          "CLK10.NYM" ;
  raw:last_trade_date "4/7/2010" ;
  raw:last_trade_time "8:48am" ;
  ov:csvRow 2 .

The special case conversion:domain_template "[.]" is equivalent to a conversion:PrimaryKeyEnhancement

Ontology

domain_templates can not be conversion:bundled_by any bundle.

conversion:domain_template 
   rdfs:domain [ owl:onProperty conversion:bundled_by; owl:cardinality 0; a owl:Restriction ] .

Issues

https://github.com/timrdf/csv2rdf4lod-automation/issues#issue/67