Vladimir Alexiev VladimirAlexiev

https://twitter.com/valexiev1/status/1215218714049699841: Compare #rdfpuml #RDF #visualization to more generic viz at http://rdfshape.weso.es/dataVisualize using #CytoScape or a generic #graphviz dot layout.

Guess which one is usable by a data designer!

From the discussion https://forum.plantuml.net/4147, this is an example of a sequence diagram rendered as Unicode AsciiArt, limited to 78 chars, for embedding into an IETF RFC.

puml -tutxt sequence-asciiArt.puml

I can't believe how usable the ascii version is! See png version at https://i.imgur.com/zGFzsrI.png

Science Classifications

This describes datasets for scientific topic classification. The list was developed as part of work on the project Tracking of Research Results for EC DG RTD.

Microsoft Academic Graph

MAG fields of study (FOS): developed using artificial intelligence and semantic understanding of content.

229k FOS, organized in a non-mutually exclusive hierarchy with 19 top-level FOS.

Using jsonld normalize for SparqlScore Result Comparison

Problem

RDF datasets can be serialized in many different forms, complicating comparison of test results. Many of the negative (partial/fail) results on http://sparqlscore.com can be improved if the comparator is more flexible. Several of the issues at https://github.com/BorderCloud/TFT-tests/issues are related to this problem.

Some examples of equivalences:

"foo" is the same as "foo"^^xsd:string

	@prefix dc: <http://purl.org/dc/elements/1.1/> .
	@prefix dct: <http://purl.org/dc/terms/> .
	@prefix fn: <http://www.w3.org/2005/xpath-functions#> .
	@prefix foaf: <http://xmlns.com/foaf/0.1/> .
	@prefix gleif-L1: <https://www.gleif.org/ontology/L1/> .
	@prefix gleif-L2: <https://www.gleif.org/ontology/L2/> .
	@prefix gleif-base: <https://www.gleif.org/ontology/Base/> .
	@prefix gleif-data-L1: <https://linked.opendata.gleif.org/L1/> .
	@prefix gleif-data-L2: <https://linked.opendata.gleif.org/L2/> .
	@prefix gleif-data-ra: <https://linked.opendata.gleif.org/RegistrationAuthority/> .

 {
     "url": "@id",
     "type": "@type",
     "value": "@value",
     "lang": "@language",
     "data": "@graph",
     "extensions" : "@nest",
     "label": "http://www.w3.org/2000/01/rdf-schema#label"
 }

	#!perl -n
	# zcat OpenPermID-bulk-organization-20180729_132845.ttl.gz \| perl permid-fix-url.pl - \| gzip - > organization.ttl.gz

	# fix permid organization.ttl URLs to avoid: https://jira.ontotext.com/browse/GDB-2798

	m{<https://\?\?} and next; # skip line with ????, pray and hope this won't break turtle

	s{ # various malformed variants of http:
	http://htpp:// \|
	http://http:// \|

	{
	"@base": "http://attack.mitre.org/enterprise/",
	"@context": "https://gist.githubusercontent.com/VladimirAlexiev/7b26962f9000a22fc25e8d180c716067/raw/7b5297fd0f4640f64609bbb3e132f56a75759082/stix.jsonld",
	"objects": [
	{
	"name": "Indicator Removal from Tools",
	"description": "If a malicious tool is detected and quarantined or otherwise curtailed, an adversary may be able to determine why the malicious tool was detected (the indicator), modify the tool by removing the indicator, and use the updated version that is no longer detected by the target's defensive systems or subsequent targets that may use similar systems.\n\nA good example of this is when malware is detected with a file signature and quarantined by anti-virus software. An adversary who can determine that the malware was quarantined because of its file signature may use Software Packing or otherwise modify the file so it has a different signature, and then re-use the malware.\n\nDetection: The first detectio

	#!/bin/sh

	gunzip -c viaf-20191104-links.txt.gz \| perl viaf-links-count.pl > viaf-links-count-201911.txt

	echo -e "\n$1"
	grep -Fl "$1" /.json