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sparql-transformer

v3.1.1

Published

Transform the SPARQL Endpoint output in JSON or JSON-LD

Downloads

84

Readme

SPARQL Transformer

Write your SPARQL query directly in the JSON-LD you would like to have in output.

JavaScript package. Try it with the Playground.

Looking for the Python one?

News

  • The parameter $libraryMode allows to perform the pagination on the merged objects, obtaining exactly n=$limit objects
  • It is now possible to set a different merging anchor instead of id/@id using the $anchor modifier.

Table of Contents

You want to learn more? Watch this Tutorial

Query in JSON

The core idea of this module is writing in a single file the query and the expected output in JSON.

Two syntaxes are supported: plain JSON and JSON-LD. Here the examples in the 2 formats for the query of cities.

  • plain JSON
{
  "proto": [{
    "id" : "?id",
    "name": "$rdfs:label$required",
    "image": "$foaf:depiction$required"
  }],
  "$where": [
    "?id a dbo:City",
    "?id dbo:country dbr:Italy"
  ],
  "$limit": 100
}
  • JSON-LD
{
  "@context": "http://schema.org/",
  "@graph": [{
    "@type": "City",
    "@id" : "?id",
    "name": "$rdfs:label$required",
    "image": "$foaf:depiction$required"
  }],
  "$where": [
    "?id a dbo:City",
    "?id dbo:country dbr:Italy"
  ],
  "$limit": 100
}

The syntax is composed by two main parts.

The prototype

The @graph/proto property contains the prototype of the result as I expect it. When the value should be taken from the query result, I declare it using the following syntax:

$<SPARQL PREDICATE>[$modifier[:option...]...]

The subject of the predicate is the variable (declared of automatically assigned) of the closer mergin anchor in the structure, which is the @id/id property (if it exists, otherwise is the default ?id). The SPARQL variable name is manually (with the $var modifier) or automatically assigned.

Some modifiers can be present after, separated by the $ sign. The : prepend the options for a given modifier.

|MODIFIER|OPTIONS|NOTE| |---|---|---| |$required|n/a| When omitted, the clause is wrapped by OPTIONAL { ... }.| |$sample|n/a|Extract a single value for that property by adding a SAMPLE(?v) in the SELECT| |$lang|:lang[string, optional]| FILTER by language. In absence of a language, pick the first value of $lang in the root.Ex. $lang:it, $lang:en, $lang. | |$bestlang|:acceptedLangs[string, optional]| Choose the best match (using BEST_LANGMATCH) over the languages according to the list expressed through the Accept-Language standard. This list can be appended after the : or expressed as $lang in the root.Ex. $bestlang, $bestlang:en;q=1, it;q=0.7 *;q=0.1| |$var|:var[string]| Specify the variable that will be assigned in the query, so that it can be referred in the root properties (like $filter). If missing, a ? is prepended. Ex. $var:myVariable, $var:?name| |$anchor|n/a|Set this property as merging anchor. The set is valid for the current level in the JSON tree, ignoring eventual id/@id sibling properties. Ex. "a":"?example$anchor" sets?example as subject of SPARQL statements and merges the final results on the a property.| |$reverse|n/a|Set this property for use the current variable as subject of the SPARQL predicate, rather than object.| |$count $sum $min $max $avg| n/a | Return the respective aggregate function (COUNT, SUM, MIN, MAX, AVG) on the variable. | |$langTag|"hide", "show" (default)| When hide, language tags are not included in the output. Ex. hide => "label":"Bologna" ; show => "label":{"value": "Bologna", "language": "it"} | |$accept|"string", "number", "boolean"| If set, values of type different from the specified one are discarded. | |$alist|n/a| When set, the interested property value would always be a list, even if with a single element.|

In this way, I specify a mapping between the JSON-LD output properties and the ones in the endpoint. The values non prepended by a $ are transferred as is to the output.

The root $ properties

The $-something root properties allow to make the query more specific. They will be not present in the output, being used only at query level. The supported properties are:

|PROPERTY|INPUT|NOTE| |--------|-----|----| |$where|string, array| Add where clause in the triple format.Ex. "$where": "?id a dbo:City"| |$values|object| Set VALUES for specified variables as a map. The presence of a lang tag or of the '$lang' attribute attached to the related property is taken in account. Ex. "$values": {"?id": ["dbr:Bari", "http://dbpedia.org/resource/Bologna"]}| |$limit |number| LIMIT the SPARQL results | |$limitMode |query (default) or library| Perform the LIMIT operation in the query or on the obtained results (library) | |$from |string(uri)| Define the graph FROM which selecting the results | |$offset |number| OFFSET applied to the SPARQL results | |$distinct|boolean (default true)| Set the DISTINCT in the select| |$orderby|string, array| Build an ORDER BY on the variables in the input. Ex. "$orderby":["DESC(?name)","?age"]| |$groupby| string, array | Build an GROUP BY on the variables in the input. Ex. "$groupby":"?id"| |$having| string, array | Allows to declare the content of HAVING. If it is an array, the items are concatenated by &&. | |$filter| string, array |Add the content as a FILTER."$filter": "?myNum > 3"| |$prefixes| object | set the prefixes in the format "foaf": "http://xmlns.com/foaf/0.1/".| |$lang|:acceptedLangs[string]| The default language to use as $bestlang (see above), expressed through the Accept-Language standard. Ex. $lang:en;q=1, it;q=0.7 *;q=0.1| |$langTag|"hide", "show" (default)| When hide, language tags are not included in the output. Similar to the inline $langTag, but acting at a global level. Ex. hide => "label":"Bologna" ; show => "label":{"value": "Bologna", "language": "it"} |

The @context property (for the JSON-LD version) will be transferred to the output.

The output of this query is intended to be:

  • for the plain JSON, an array of object with the shape of the prototype;
  • for the JSON-LD, an array of object with the shape of the prototype in the @graph property and with a sibling @context.

How to use

Install in nodeJS

Install by npm.

npm install sparql-transformer

Add to the application.

import sparqlTransformer from 'sparql-transformer';

Install in the browser

SPARQL Transformer is exposed as ES Module. We rely on getlibs until the technology will allow to use "bare" import specifier.

<script src="https://unpkg.com/getlibs"></script>
<script>sparqlTransformer = System.import('https://unpkg.com/sparql-transformer')</script>

Use

sparqlTransformer(query, options)
  .then(res => console.log(res))
  .catch(err => console.error(err););

The first parameter (query) is the query in the JSON-LD format. The JSON-LD can be:

  • an already parsed JS object (or defined real time),
  • ONLY if running in NodeJS, the local path of a JSON file (that will then be read and parsed).

The options parameter is optional, and can define the following:

| OPTION | DEFAULT | NOTE | | --- | --- | --- | |context | http://schema.org/ | The value in @context. It overwrites the one in the query.| | sparqlFunction | null | A function receiving in input the transformed query in SPARQL, returning a Promise. If not specified, the module performs the query on its own1 against the specified endpoint. | | endpoint | http://dbpedia.org/sparql | Used only if sparqlFunction is not specified. | | debug | false | Enter in debug mode. This allow to print in console the generated SPARQL query. | | params | {} | Additional parameters to pass to the HTTP query |

See test.js for further examples.

Credits

If you use this module for your research work, please cite:

Pasquale Lisena, Albert Meroño-Peñuela, Tobias Kuhn and Raphaël Troncy. Easy Web API Development with SPARQL Transformer. In 18th International Semantic Web Conference (ISWC), Auckland, New Zealand, October 26-30, 2019.

BIB file

Pasquale Lisena and Raphaël Troncy. Transforming the JSON Output of SPARQL Queries for Linked Data Clients. In WWW'18 Companion: The 2018 Web Conference Companion, April 23–27, 2018, Lyon, France. https://doi.org/10.1145/3184558.3188739

BIB file


1: Using a lightweight SPARQL client.