@rdmr-eu/rdfjs-source-msaccess v3.1.1

rdfjs-source-msaccess

This library and CLI creates RDF quads from a Microsoft Access database (.accdb or .mdb).

Read the introductory blog post or go directly to NPM.

Usage

Run it without installing using e.g. npx: $ npx @rdmr-eu/rdfjs-source-msaccess.

Add it as a library with e.g. $ yarn add @rdmr-eu/rdfjs-source-msaccess and use the exported class:

const data = fs.readFileSync(inputFilePath);
const mdb = new MSAccess(data, { baseIRI: "https://example.org/data#" });
const store = mdb.store(); // then use this RDF.Store in your code.

Model

The generated quads are according to the Facade-X model (default) or a simpler csv-like model.

• With the above table, the mode facade-x (default) generates:

  <https://example.org/data#ContentTable> {
    [] rdf:type fx:root ;
      rdf:_1 _:ContentTable1 ;
      rdf:_2 _:ContentTable2 .
  
    _:ContentTable1 xyz:Id "1"^^xsd:long ;
      xyz:DateAdded "2023-03-10T00:00:00.000Z"^^xsd:dateTime ;
      xyz:ContentBody "<div>This is <strong>content</strong></div>" ;
      xyz:Published "true"^^xsd:boolean .
  
    _:ContentTable2 xyz:Id "2"^^xsd:long ;
      xyz:DateAdded "2023-03-09T00:00:00.000Z"^^xsd:dateTime ;
      xyz:ContentBody "<div><em>Old</em></div>" ;
      xyz:Published "false"^^xsd:boolean .
  }

  This is based on the spreadsheet format for SPARQL-Anything.

• With the above tabe, the mode csv generates:

  <csv:table/ContentTable> {
    <csv:table/ContentTable/row/1> <csv:Id> "1"^^xsd:long ;
      <csv:DateAdded> "2023-03-10T00:00:00.000Z"^^xsd:dateTime ;
      <csv:ContentBody> "<div>This is <strong>content</strong></div>" ;
      <csv:Published> "true"^^xsd:boolean .
  
    <csv:table/ContentTable/row/2> <csv:Id> "2"^^xsd:long ;
      <csv:DateAdded> "2023-03-09T00:00:00.000Z"^^xsd:dateTime ;
      <csv:ContentBody> "<div><em>Old</em></div>" ;
      <csv:Published> "false"^^xsd:boolean .
  }