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A Triple Pattern Fragments server for Node.js

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LinkedDataFragments/Server.js

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This repository contains modules forLinked Data Fragments (LDF) servers.

Find more information about migrating fromldf-server 2.x.xon our wiki.

Motivation

On today's Web, Linked Data is published in different ways,which includedata dumps,subject pages,andresults of SPARQL queries.We call each such part aLinked Data Fragment.

The issue with the current Linked Data Fragmentsis that they are either so powerful that their servers suffer from low availability rates(as is the case with SPARQL),or either don't allow efficient querying.

Instead, this server offersQuad Pattern Fragments(a.k.a.Triple Pattern Fragments).Each Quad Pattern Fragment offers:

  • data that corresponds to aquad/triple pattern(example).
  • metadata that consists of the (approximate) total triple count(example).
  • controls that lead to all other fragments of the same dataset(example).

An example server is available atdata.linkeddatafragments.org.

Quick Start

The easiest way to start using this server is via@ldf/server.(previously known asldf-server)

Install the server

This server requiresNode.js 10.0 or higherand is tested on OSX and Linux.To install, execute:

$ [sudo] npm install -g @ldf/server

Configure the data sources

First, create a configuration fileconfig.json similar toconfig/config-example.json,in which you detail your data sources.For example, this configuration uses anHDT fileand a SPARQL endpoint as sources:

{"@context":"https://linkedsoftwaredependencies.org/bundles/npm/@ldf/server/^3.0.0/components/context.jsonld","@id":"urn:ldf-server:my","import":"preset-qpf:config-defaults.json","title":"My Linked Data Fragments server","datasources": [    {"@id":"ex:myHdtDatasource","@type":"HdtDatasource","datasourceTitle":"DBpedia 2014","description":"DBpedia 2014 with an HDT back-end","datasourcePath":"dbpedia","hdtFile":"data/dbpedia2014.hdt"    },    {"@id":"ex:mySparqlDatasource","@type":"SparqlDatasource","datasourceTitle":"DBpedia (Virtuoso)","description":"DBpedia with a Virtuoso back-end","datasourcePath":"dbpedia-sparql","sparqlEndpoint":"https://dbpedia.org/sparql"    }  ]}

More details on how to configure this server can be found in the README of@ldf/server.

Start the server

After creating a configuration file, execute

$ ldf-server config.json 5000 4

Here,5000 is the HTTP port on which the server will listen,and4 the number of worker processes.

Now visithttp://localhost:5000/ in your browser.

Configure your own server

This repository should be used by LDF Server moduledevelopers as it contains multiple LDF Server modules that can be composed.We manage this repository as amonorepousingLerna.

The following modules are available:

These modules can be used to configure your own LDF server with the features you want.As an example on how to make such a server,you can have a look at@ldf/server,which is a default server configuration that has all possible features enabled.

Development Setup

If you want to develop new featuresor use the (potentially unstable) in-development version,you can set up a development environment for this server.

LDF Server requiresNode.JS 10.0 or higher and theYarn package manager.LDF Server is tested on OSX, Linux and Windows.

This project can be setup by cloning and installing it as follows:

$ git clone https://github.com/LinkedDataFragments/Server.js.git$cd Server.js$ yarn install

Note:npm install is not supported at the moment, as this project makes use of Yarn'sworkspaces functionality

This will install the dependencies of all modules, and bootstrap the Lerna monorepo.After that, allLDF Server packages are available in thepackages/ folderand can be used in a development environment.

Furthermore, this will addpre-commit hooksto build, lint and test.These hooks can temporarily be disabled at your own risk by adding the-n flag to the commit command.

License

The Linked Data Fragments server is written byRuben Verborgh, Miel Vander Sande,Ruben Taelman and colleagues.

This code is copyrighted byGhent University – imecand released under theMIT license.


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