rubensworks

Generated with https://github.com/rubensworks/microdata-rdf-streaming-parser.js/tree/master/perf

Small file

(Input from https://github.com/microdata-rdf/microdata-rdf.github.io/tree/master/test-suite)

microdata-rdf-streaming-parser

• Parsing file /Users/rtaelman/Documents/UGent/nosync/microdata-rdf-streaming-parser/test0016.html: 11.374ms

• Quads parsed: 15
• Memory usage: 26MB

rubensworks

Generated with https://github.com/rubensworks/rdfa-streaming-parser.js/tree/master/perf

Small file

(Input from https://github.com/rdfa/rdfa.github.io/tree/master/test-suite)

rdfa-streaming-parser

• Parsing file /Users/kroeser/Documents/Development/rdfa-streaming-parser.js/perf/0006.xhtml: 12.920ms

• Quads parsed: 2
• Memory usage: 24MB

rubensworks

We require three new handles:

• InsertHandler: binds to add.
• DeleteHandler: binds to delete.
• UpdateHandler (optional): binds to set and replace.

Getting random values

await user.friends.friends.random // returns a random friend

rubensworks

Generated with https://github.com/rubensworks/rdfxml-streaming-parser.js/tree/master/perf

Small file

rdfxml-streaming-parser

• Parsing file /Users/rtaelman/Downloads/small.rdf: 13.936ms

• Quads parsed: 22
• Memory usage: 21MB

rdflib/rdfxmlprocessor

rubensworks

Small equal:
  > Triples: 276
isomorphic: 24.378ms
canonize: 5.570ms

Small non-equal:
  > Triples: 276
isomorphic: 1.216ms
canonize: 4.184ms

rubensworks

GraphQL-LD

GraphQL-LD is a way to query Linked Data using GraphQL.

Instead of querying GraphQL interfaces, Linked Data interfaces are queried, such as SPARQL endpoints, TPF interfaces, Linked Data documents, ... This is done by semantifying GraphQL queries using a JSON-LD context.

Try it out from your browser: http://query.linkeddatafragments.org/

Alternatively, install GraphQL-LD or Comunica SPARQL and execute GraphQL-LD queries on your machine

rubensworks

:myFriends {
  ex:Alice foaf:knows ex:Bob.
  ex:Alice foaf:knows ex:Carol.
}

Remove a single quad

I guess this is supported?

rubensworks

This is a short guide that explains how you can execute a federated query with Comunica.

Command line

We will execute a query to find all books in the Harvard Library that were written by people who were born in Ghent. We do this by federating over DBpedia (SPARQL), the Harvard library (TPF) and the VIAF dataset (TPF).

1. Make sure Node.js (>=8.0.0) is installed: https://nodejs.org/en/
2. Install Comunica: npm install -g @comunica/actor-init-sparql
3. Execute the following command:

rubensworks

# Comunica Contributor License Agreement

The following terms are used throughout this agreement:

* You - the person or legal entity including its affiliates asked to accept this agreement. An affiliate is any entity that controls or is controlled by the legal entity, or is under common control with it.
* Project - is an umbrella term that refers to any and all GitHub open source projects.
* Contribution - any type of work that is submitted to a Project, including any modifications or additions to existing work.
* Submitted - conveyed to a Project via a pull request, commit, issue, or any form of electronic, written, or verbal communication with GitHub, contributors or maintainers.

## 1. Grant of Copyright License.

rubensworks

# Cyclops Contributor License Agreement

Adapted from https://cla.github.com/agreement

The following terms are used throughout this agreement:

* You - the person or legal entity including its affiliates asked to accept this agreement. An affiliate is any entity that controls or is controlled by the legal entity, or is under common control with it.
* Project - is an umbrella term that refers to any and all GitHub open source projects.
* Contribution - any type of work that is submitted to a Project, including any modifications or additions to existing work.
* Submitted - conveyed to a Project via a pull request, commit, issue, or any form of electronic, written, or verbal communication with GitHub, contributors or maintainers.