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    sparqlalgebrajs
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    4.0.5 • Public • Published

    SPARQL to SPARQL Algebra converter

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    2 components get exposed: the translate function and the Algebra object, which contains all the output types that can occur.

    Note that this is still a work in progress so naming conventions could change. There is also support for 'non-algebra' entities such as ASK, FROM, etc. to make sure the output contains all relevant information from the query.

    Translate

    Input for the translate function should either be a SPARQL string or a result from calling SPARQL.js.

    const { translate } = require('sparqlalgebrajs');
    translate('SELECT * WHERE { ?x ?y ?z }');

    Returns:

    { 
      "type": "project",
      "input": {
        "type": "bgp",
          "patterns": [{
            "type": "pattern",
            "termType": "Quad",
            "subject": { "termType": "Variable", "value": "x" },
            "predicate": { "termType": "Variable", "value": "y" },
            "object": { "termType": "Variable", "value": "z" },
            "graph": { "termType": "DefaultGraph", "value": "" }
          }]
      },
      "variables": [
        { "termType": "Variable", "value": "x" },
        { "termType": "Variable", "value": "y" },
        { "termType": "Variable", "value": "z" }
      ]
    }
    

    Translating back to SPARQL can be done with the toSparql (or toSparqlJs) function.

    Algebra object

    The algebra object contains a types object, which contains all possible values for the type field in the output results. Besides that it also contains all the TypeScript interfaces of the possible output results. The output of the translate function will always be an Algebra.Operation instance.

    The best way to see what output would be generated is to look in the test folder, where we have many SPARQL queries and their corresponding algebra output.

    Deviations from the spec

    This implementation tries to stay as close to the SPARQL 1.1 specification, but some changes were made for ease of use. These are mostly based on the Jena ARQ implementation. What follows is a non-exhaustive list of deviations:

    Named parameters

    This is the biggest visual change. The functions no longer take an ordered list of parameters but a named list instead. The reason for this is to prevent having to memorize the order of parameters and also due to seeing some differences between the spec and the Jena ARQ SSE output when ordering parameters.

    Multiset/List conversion

    The functions toMultiset and toList have been removed for brevity. Conversions between the two are implied by the operations used.

    Quads

    The translate function has an optional second parameter indicating whether patterns should be translated to triple or quad patterns. In the case of quads the graph operation will be removed and embedded into the patterns it contained. The default value for this parameter is false.

    PREFIX : <http://www.example.org/>
    
    SELECT ?x WHERE {
        GRAPH ?g {?x ?y ?z}
    }
    

    Default result:

    {
      "type": "project",
        "input": {
        "type": "graph",
          "input": {
          "type": "bgp",
            "patterns": [{
              "type": "pattern",
              "termType": "Quad",
              "subject": { "termType": "Variable", "value": "x" },
              "predicate": { "termType": "Variable", "value": "y" },
              "object": { "termType": "Variable", "value": "z" },
              "graph": { "termType": "DefaultGraph", "value": "" }
            }]
        },
        "name": { "termType": "Variable", "value": "g" }
      },
      "variables": [{ "termType": "Variable", "value": "x" }]
    }
    

    With quads:

    {
      "type": "project",
        "input": {
        "type": "bgp",
          "patterns": [{
            "type": "pattern",
            "termType": "Quad",
            "subject": { "termType": "Variable", "value": "x" },
            "predicate": { "termType": "Variable", "value": "y" },
            "object": { "termType": "Variable", "value": "z" },
            "graph": { "termType": "Variable", "value": "g" }
          }]
      },
      "variables": [{ "termType": "Variable", "value": "x" }]
    }
    

    Flattened operators

    Several binary operators that can be nested, such as the path operators, can take an array of input entries to simply this notation. For example, the following SPARQL:

    SELECT * WHERE { ?x <a:a>|<b:b>|<c:c> ?z }

    outputs the following algebra:

    {
      "type": "project",
      "input": {
        "type": "path",
        "subject": { "termType": "Variable", "value": "x" },
        "predicate": {
          "type": "alt",
          "input": [
            { "type": "link", "iri": { "termType": "NamedNode", "value": "a:a" }},
            { "type": "link", "iri": { "termType": "NamedNode", "value": "b:b" }},
            { "type": "link", "iri": { "termType": "NamedNode", "value": "c:c" }}
          ]
        },
        "object": { "termType": "Variable", "value": "z" },
        "graph": { "termType": "DefaultGraph", "value": "" }
      },
      "variables": [
        { "termType": "Variable", "value": "x" },
        { "termType": "Variable", "value": "z" }
      ]
    }
    

    SPARQL*

    SPARQL* queries can be parsed by setting sparqlStar to true in the translate options.

    VALUES

    For the VALUES block we return the following output:

    PREFIX dc:   <http://purl.org/dc/elements/1.1/> 
    PREFIX :     <http://example.org/book/> 
    PREFIX ns:   <http://example.org/ns#> 
    
    SELECT ?book ?title ?price
    {
       VALUES ?book { :book1 :book3 }
       ?book dc:title ?title ;
             ns:price ?price .
    }
    
    {
      "type": "project",
      "input": {
        "type": "join",
        "input": [
          {
            "type": "values",
            "variables": [{ "termType": "Variable", "value": "book" }],
            "bindings": [
              { "?book": { "termType": "NamedNode", "value": "http://example.org/book/book1" }},
              { "?book": { "termType": "NamedNode", "value": "http://example.org/book/book3" }}
            ]
          },
          {
            "type": "bgp",
            "patterns": [
              {
                "type": "pattern",
                "termType": "Quad",
                "subject": { "termType": "Variable", "value": "book" },
                "predicate": { "termType": "NamedNode", "value": "http://purl.org/dc/elements/1.1/title" },
                "object": { "termType": "Variable", "value": "title" },
                "graph": { "termType": "DefaultGraph", "value": "" }
              },
              {
                "type": "pattern",
                "termType": "Quad",
                "subject": { "termType": "Variable", "value": "book" },
                "predicate": { "termType": "NamedNode", "value": "http://example.org/ns#price" },
                "object": { "termType": "Variable", "value": "price" },
                "graph": { "termType": "DefaultGraph", "value": "" }
              }
            ]
          }
        ]
      },
      "variables": [
        { "termType": "Variable", "value": "book" },
        { "termType": "Variable", "value": "title" },
        { "termType": "Variable", "value": "price" }
      ]
    }
    

    Differences from Jena ARQ

    Some differences from Jena (again, non-exhaustive): no prefixes are used (all uris get expanded) and the project operation always gets used (even in the case of SELECT *).

    A note on tests

    Every test consists of a sparql file and a corresponding json file containing the algebra result. Tests ending with (quads) in their name are tested/generated with quads: true in the options.

    If you need to regenerate the parsed JSON files in bulk, you can invoke node test/generate-json.js.

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    Install

    npm i sparqlalgebrajs

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    Version

    4.0.5

    License

    MIT

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    • joachimvh