#vldb2023

Live, measured metrics for the hashtag #vldb2023 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 #vldb2023

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.

$110.68/ year · 8-character #name
Claim #vldb2023 — $110.68/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
7
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 7
0.1
Avg reactions / post
Mastodon · last 7
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.online (Mastodon public tags API) · fetched 2026-11-04 04:36 UTC
0
10-29
0
10-30
0
10-31
0
11-01
0
11-02
0
11-03
0
11-04

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

Related hashtags

measured · mastodon.online (Mastodon public search API) · fetched 2026-11-04 04:36 UTC

No related tags with measured usage found for #vldb2023.

Live pulse

measured · mastodon.online (Mastodon tag timeline) · fetched 2026-11-04 04:36 UTC

Everything below is measured over the latest 7 public posts (spanning ~21694 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: German (5) · English (2)

Avg boosts / post: 3.6

Top of the latest posts

  • 🏆 Honored to receive the IFIP TC2 Manfred Paul Award (2024) together with Kashif Rabbani and @kuzeko for our VLDB 2023 paper "Extraction of Validating Shapes from Very Large Knowledge Graphs". We propose a method to generate #SHACL shapes

    Katja Hose@[email protected]♥ 1↻ 72025-06-07 12:06 UTCView post →
  • Excited to have participated in #vldb2023 workshop on polystores last week in Vancouver, recording: https://www.youtube.com/watch?v=go3E2drwngQ #clickhouse is an open-source analytical database with an advanced data integration engine, givi

    Tanya Bragin@[email protected]♥ 0↻ 22023-09-14 16:34 UTCView post →
  • Happy to share that Kashif Rabbani has presented our work on scalable methods to extract #SHACL shapes from very large Knowledge Graphs at #VLDB2023 in Vancouver, Canada. Paper: Improving Data Quality in very large Knowledge Graphs Authors:

    Katja Hose@[email protected]♥ 0↻ 22023-09-01 17:25 UTCView post →

What “vldb2023” means

Wikipedia

A very large database, or VLDB, is a database that contains a very large amount of data, so much that it can require specialized architectural, management, processing and maintenance methodologies.

“Very large database” on Wikipedia (CC BY-SA) →

#vldb2023 across platforms

every network with a public tag surface

Follow #vldb2023 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/vldb2023