Triply

Triply
Created on Jun 9th, 2019

Triply is developing this platform

Members

Don't modify or delete this dataset pls.

This dataset description demo's the new code highlighting (#3149). Code blocks are rendered everywhere except the front page and pinned datasets.

javascript

var cat = "cat" ;
const dog={
   name:'dog',
   bark:true,
   legs:4
}
if (dog.bark) {
   // comment
  return;
}

sparql

select * where {
?s ?p ?o
} limit 42

java


/* This is a simple Java program. 
   FileName : "HelloWorld.java". */
class HelloWorld 
{ 
    // Your program begins with a call to main(). 
    // Prints "Hello, World" to the terminal window. 
    public static void main(String args[]) 
    { 
        System.out.println("Hello, World"); 
    } 
} 

cpp

#include <iostream>
using namespace std;
int main() 
{
    cout << "Hello, World!";
    return 0;
}

typescript

function greeter(person) {
    return "Hello, " + person;
}

let user = "Jane User";

document.body.textContent = greeter(user)

ebnf


[1]	turtleDoc	::=	statement*
[2]	statement	::=	directive | triples '.'
[3]	directive	::=	prefixID | base | sparqlPrefix | sparqlBase
[4]	prefixID	::=	'@prefix' PNAME_NS IRIREF '.'
[5]	base	::=	'@base' IRIREF '.'
[5s]	sparqlBase	::=	"BASE" IRIREF
[6s]	sparqlPrefix	::=	"PREFIX" PNAME_NS IRIREF
[6]	triples	::=	subject predicateObjectList | blankNodePropertyList predicateObjectList?
[7]	predicateObjectList	::=	verb objectList (';' (verb objectList)?)*
[8]	objectList	::=	object (',' object)*
[9]	verb	::=	predicate | 'a'
[10]	subject	::=	iri | BlankNode | collection
[11]	predicate	::=	iri
[12]	object	::=	iri | BlankNode | collection | blankNodePropertyList | literal
[13]	literal	::=	RDFLiteral | NumericLiteral | BooleanLiteral
[14]	blankNodePropertyList	::=	'[' predicateObjectList ']'
[15]	collection	::=	'(' object* ')'
[16]	NumericLiteral	::=	INTEGER | DECIMAL | DOUBLE
[128s]	RDFLiteral	::=	String (LANGTAG | '^^' iri)?
[133s]	BooleanLiteral	::=	'true' | 'false'
[17]	String	::=	STRING_LITERAL_QUOTE | STRING_LITERAL_SINGLE_QUOTE | STRING_LITERAL_LONG_SINGLE_QUOTE | STRING_LITERAL_LONG_QUOTE
[135s]	iri	::=	IRIREF | PrefixedName
[136s]	PrefixedName	::=	PNAME_LN | PNAME_NS
[137s]	BlankNode	::=	BLANK_NODE_LABEL | ANON

list of supported languages: loadLanguages.ts

IMDb is an online database of information related to world films, television programs, home videos and video games, and internet streams, including cast, production crew, personnel and fictional character biographies, plot summaries, trivia, and fan reviews and ratings.

Version: 1.0.0

LOV stands for Linked Open Vocabularies. This name is derived from LOD, standing for Linked Open Data.

A vocabulary in LOV gathers definitions of a set of classes and properties (together simply called terms of the vocabulary), useful to describe specific types of things, or things in a given domain or industry, or things at large but for a specific usage. Terms of vocabularies also provide the links in linked data, in the above case between a Person and a City. The definitions of terms provided by the vocabularies bring clear semantics to descriptions and links, thanks to the formal language they use (some dialect of RDF such as RDFS or OWL). In short, vocabularies provide the semantic glue enabling Data to become meaningful Data.

Website: https://lov.linkeddata.es/dataset/lov

Deze dummy dataset en het bijbehorende sparql endpoint kan gebruikt worden om naar buiten te kunnen querien en toch een saved query aan te kunnen maken voor queries of stories.

Here we store the metadata properties for the properties and the classes for ticket #3348. See link: https://kadaster.triply.cc/kadaster-dev/bag-vocab/download.trig.gz for the original file.

The official BAG vocabulary, as published on PDOK.

The inofficial version of the BAG vocabulary. See bag-vocab-pdok for the official vocabulary.

Metadata for browser, see example resources. But due to google characters minimum we have to crank those characters numbers up. These are rooky characternumbers.

This dataset sets values for all possible fields, and sets long lists for paginated fields. As such it's suitable for testing pagination and copying of datasets.

These are the pets of ҉̜triply .

Feel free to add your own (Don't forget pictures)

Pets are not limited to animals but also

plants and stones

It doesn't matter if they're small or Big, Tall or tiny or miniscule

<substones

this dataset is used for the unit test titled "Should get a graph after full download job"

please don't delete this dataset.

Geo data of bavaria

Music ♩ related datasets from the LOD Laundromat

A collection of 558,943,166 owl:sameAs statements. These statements are crawled from the LOD Cloud by the LOD Laundromat (http://lodlaundromat.org), and have been extracted from the LOD-a-lot dataset (http://lod-a-lot.lod.labs.vu.nl).

Nederland telt bijna 400 gemeenten. In 1812 waren dat er meer dan 1100. In twee eeuwen vol herindelingen, annexaties en fusies heeft Nederland bijna 1700 gemeenten gekend. De data van gemeentegeschiedenis is gebouwd op twee datasets: het Repertorium van Nederlandse gemeenten vanaf 1812 van Ad van der Meer en Onno Boonstra en de bij DANS gedeponeerde NLGis shapefiles van Onno Boonstra, waarin van elk jaar van 1812 tot 1997 de gemeentegrenzen zijn vastgelegd.