#vldb2023 — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #vldb2023, aggregated by home.social.
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🏆 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.
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🏆 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.
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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.
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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.pdfRead more on our website: https://relweb.cs.aau.dk/qse/
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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.pdfRead more on our website: https://relweb.cs.aau.dk/qse/
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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!
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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!
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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/10.1145/3555041.3589723The full research paper describing the technical details of the algorithms will be presented at #VLDB2023
https://www.vldb.org/pvldb/vol16/p1023-rabbani.pdfAdditional information
https://www.cs.aau.dk/news-and-events/show/introducing-shactor--a-cutting-edge-tool-for-ensuring-data-quality-in-knowledge-graphs.cid543496 -
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/10.1145/3555041.3589723The full research paper describing the technical details of the algorithms will be presented at #VLDB2023
https://www.vldb.org/pvldb/vol16/p1023-rabbani.pdfAdditional information
https://www.cs.aau.dk/news-and-events/show/introducing-shactor--a-cutting-edge-tool-for-ensuring-data-quality-in-knowledge-graphs.cid543496 -
Thank you for your interest in our work.
While we are still working on the CRC, the extended version of our #VLDB2023 paper is already available on our github page:
https://github.com/dkw-aau/qse -
Thank you for your interest in our work.
While we are still working on the CRC, the extended version of our #VLDB2023 paper is already available on our github page:
https://github.com/dkw-aau/qse -
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
#knowledgeGraphs #shacl #shapes #queryOptimization #SPARQL #rdf #archiving
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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
#knowledgeGraphs #shacl #shapes #queryOptimization #SPARQL #rdf #archiving