#ontologymatching

Live, measured metrics for the hashtag #ontologymatching from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

hashtag.org network · sponsored

Own #ontologymatching

This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.

$5.00/ year · 16-character #name
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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
5
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 5
0.2
Avg reactions / post
Mastodon · last 5
Reddit posts / month
Reddit search
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-08-01 07:35 UTC
0
07-26
0
07-27
0
07-28
0
07-29
0
07-30
0
07-31
0
08-01

0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · fosstodon.org (Mastodon public search API) · fetched 2026-08-01 07:35 UTC

No related tags with measured usage found for #ontologymatching.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-01 07:35 UTC

Everything below is measured over the latest 5 public posts (spanning ~2625 hours).

Top of the latest posts

  • We are happy to welcome Sven Hertling on board as new FIZ ISE PostDoc team member. Sven comes from the research group of Heiko Paulheim at University of Mannheim and will continue his research together with us at @fiz_karlsruhe on #knowledg

    FIZ KDAI Research Group@[email protected]162024-03-07 11:29 UTCView post →
  • A package implementing #AutoCal was published on #PyPI: 🔗 https://pypi.org/project/matchain/ The source sits on #GitHub in a repository administered by the main author of the paper (who is not in the #Fediverse so far): 🔗 https://github.c

    Jörg Preisendörfer@[email protected]022024-06-24 20:25 UTCView post →
  • From the abstract: ›We also select an unsupervised state-of-the-art matcher from the field of #DeepLearning for a thorough comparison. Our results show that neither #AutoCal nor the state-of-the-art matcher is superior regarding matching qu

    Jörg Preisendörfer@[email protected]012024-06-24 20:20 UTCView post →

#ontologymatching across platforms

every network with a public tag surface

Follow #ontologymatching straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.

Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/ontologymatching