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{ | |
"@context": [ | |
"https://www.w3.org/ns/activitystreams", | |
{ | |
"ietf": "http://www.iana.org/assignments/relation/", | |
"ldp": "http://www.w3.org/ns/ldp#" | |
} | |
], | |
"actor": { | |
"id": "https://orcid.org/0000-0002-1825-0097", |
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@prefix my: <http://lib.ugent.be/~phochste/examples/> . | |
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> . | |
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> . | |
@prefix sh: <http://www.w3.org/ns/shacl#> . | |
@prefix as: <https://www.w3.org/ns/activitystreams#> . | |
@prefix ldp: <http://www.w3.org/ns/ldp#> . | |
as:Offer | |
a rdfs:Class , sh:NodeShape ; | |
rdfs:label "Keep Offers" ; |
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Wat heeft leeftijd met de vraag de maken? |
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I have an image which contains two rectangular regions which contains stereotype photos. What is the best way | |
for a large batch of photos to extract automatically the two photos in the original source? |
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{ | |
"coord": { | |
"lon": 139.76, | |
"lat": 35.68 | |
}, | |
"weather": Array[1][ | |
{ | |
"id": 802, | |
"main": "Clouds", | |
"description": "scattered clouds", |
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# | |
# Usage: | |
# marc_marc('852a',holding.$append) | |
# holding(-logfile => '/mnt/scratch/lludss/holding_error.txt') | |
# | |
package Catmandu::Fix::holding; | |
use strict; | |
use Catmandu::Util qw(:io is_string); | |
use POSIX qw(strftime); | |
use Data::Dumper; |
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{"coord":{"lon":3.72,"lat":51.05},"sys":{"type":3,"id":4839,"message":0.0349,"country":"BE","sunrise":1417159365,"sunset":1417189422},"weather":[{"id":500,"main":"Rain","description":"light rain","icon":"10d"}],"base":"cmc stations","main":{"temp":281.15,"pressure":1006,"humidity":87,"temp_min":281.15,"temp_max":281.15},"wind":{"speed":3.6,"deg":100},"rain":{"3h":0.5},"clouds":{"all":56},"dt":1417166878,"id":2797656,"name":"Gent","cod":200} |
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{"coord":{"lon":3.72,"lat":51.05},"weather":[{"id":500,"main":"Rain","description":"light rain","icon":"10d"}],"base":"cmc stations","main":{"temp":288.524,"pressure":1034.03,"humidity":87,"temp_min":288.524,"temp_max":288.524,"sea_level":1036.43,"grnd_level":1034.03},"wind":{"speed":6.93,"deg":242.008},"rain":{"3h":0.2025},"clouds":{"all":92},"dt":1447164399,"sys":{"message":0.0031,"country":"BE","sunrise":1447138397,"sunset":1447171449},"id":2797656,"name":"Gent","cod":200} |
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#!/usr/bin/env perl | |
# | |
# Match authors against VIAF | |
# | |
# License: http://dev.perl.org/licenses/artistic.html | |
# | |
# Author: Patrick Hochstenbach <[email protected]> | |
# | |
# Apr 2015 | |
$|++; |
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#!/usr/bin/env node | |
/* | |
* Install: npm install n3 | |
* Usage: cat gigantic.ttl | tutle2ntriples | |
* Usage: tutle2ntriples gigantic.ttl | |
* | |
* See also: https://github.com/RubenVerborgh/N3.js | |
*/ | |
var file = undefined; | |
if (process.argv.length == 2) { |