🏆 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 from large knowledge graphs — scalable to billions of triples, mining meaningful patterns based on support and confidence, and enabling effective data validation and quality assessment at scale.

https://www.vldb.org/pvldb/vol16/p1023-rabbani.pdf

#KnowledgeGraphs #VLDB2023 #IFIP

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, giving users data integration and transformation capabilities.

In his talk, almost entirely driven via demo 🤯, Ryadh shows how to get data into ClickHouse and transform and analyze it, in the process answering questions about ClickHouse internals.

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: K. Rabbani, @kuzeko and @katjahose
https://www.vldb.org/pvldb/vol16/p1023-rabbani.pdf

Read more on our website: https://relweb.cs.aau.dk/qse/

Try out this new demo of a tool for expandable, explorable, recursive summary artifacts using LLMs from Semantic Scholar! 🤩 You can select any text span to expand at that spot & even dive into the original source.

https://exp-sum.apps.allenai.org It's currently loaded up with #VLDB2023 papers!

This week, Kashif Rabbani will present his work on "SHACTOR: Improving the Quality of Large-Scale Knowledge Graphs with Validating Shapes" as a demo at #SIGMOD2023, joint work together with @kuzeko & @katjahose.

Website incl. video:
https://relweb.cs.aau.dk/qse/

Demo Paper Link:
https://dl.acm.org/doi/10.1145/3555041.3589723

The full research paper describing the technical details of the algorithms will be presented at #VLDB2023
https://www.vldb.org/pvldb/vol16/p1023-rabbani.pdf

Additional information
https://www.cs.aau.dk/news-and-events/show/introducing-shactor--a-cutting-edge-tool-for-ensuring-data-quality-in-knowledge-graphs.cid543496

I'm happy to share that we got 2 papers accepted today.

The first one on "Extraction of Validating Shapes from very large Knowledge Graphs" was accepted at #VLDB2023, authors: K. Rabbani, M. Lissandrini, K. Hose

The second one on "Scaling Large RDF Archives To Very Long Histories" was accepted at #ICSC2023, authors: O. Pelgrin, R. Taelman, L. Galàrraga, K. Hose

@kuzeko

#knowledgeGraphs #shacl #shapes #queryOptimization #SPARQL #rdf #archiving