Main

related bits

0

processing priority

4

site type

0 (generic, awaiting analysis)

review version

11

html import

20 (imported)

Events

first seen date

2023-12-23 22:48:41

expired found date

-

created at

2024-06-19 02:19:27

updated at

2026-01-04 05:34:09

Domain name statistics

length

15

crc

56855

tld

978

nm parts

0

nm random digits

0

nm rare letters

0

Connections

is subdomain of id

-

previous id

0

replaced with id

0

related id

-

dns primary id

186025867

dns alternative id

0

lifecycle status

0 (unclassified, or currently active)

Subdomains and pages

deleted subdomains

0

page imported products

0

page imported random

0

page imported parking

0

Error counters

count skipped due to recent timeouts on the same server IP

0

count content received but rejected due to 11-799

0

count dns errors

0

count cert errors

0

count timeouts

0

count http 429

0

count http 404

0

count http 403

0

count http 5xx

0

next operation date

2026-03-06 19:23:57

Server

server bits

server ip

-

Mainpage statistics

mp import status

20

mp rejected date

-

mp saved date

-

mp size orig

68807

mp size raw text

2900

mp inner links count

5

mp inner links status

20 (imported)

Open Graph

title

description

image

site name

author

updated

2025-12-29 03:33:29

raw text

Mapa – Multilingual Anonymisation for Public Administrations Skip to content Mapa Multilingual Anonymisation for Public Administrations Menu About Blog/News Dissemination Partners GDPR Demo Contact Scroll down to content MAPA Multilingual Anonymisation for Public Administrations The MAPA Project is an integration project that aims at introducing Natural Language Processing (NLP) tools and at developing a toolkit for effective and reliable anonymisation of texts in the medical and legal fields. The proposal addresses all EU official languages, including under-resourced ones (such as Latvian, Lithuanian, Estonian, Slovenian and Croatian). Our project addressed the precise concept called “de-identification”: removing directly identifying expressions, such as person names, from a text. The Action will build a deployable, dock-ready, open-source full multilingual anonymisation toolkit able to detect personal data (name, addresses, emails, credit ca...

Text analysis

redirect type

0 (-)

block type

0 (no issues)

detected language

1 (English)

category id

Zastosowania AI (149)

index version

2025123101

spam phrases

0

Text statistics

text nonlatin

0

text cyrillic

0

text characters

2337

text words

405

text unique words

224

text lines

34

text sentences

12

text paragraphs

6

text words per sentence

33

text matched phrases

1

text matched dictionaries

3

RSS

rss status

32 (unknown)

rss found date

2023-12-23 22:48:41

rss size orig

41264

rss items

4

rss spam phrases

0

rss detected language

1 (English)

inbefore feed id

-

inbefore status

0 (new)

Sitemap

sitemap status

30 (processing completed, results pushed to table crawler_sitemaps.ext_domain_sitemap_lists)

sitemap review version

2

sitemap urls count

10

sitemap urls adult

0

sitemap filtered products

0

sitemap filtered videos

0

sitemap found date

2023-12-22 17:22:13

sitemap process date

2024-12-12 18:00:14

sitemap first import date

-

sitemap last import date

-