Our #rdf2vec book is available at the @SpringerNature booth at @iswc_conf #iswc2023 @JanPortisch @pRistoski

#LLMs are excellent few-shot #ontology #matching systems. Read our #kcap2023 paper here: arxiv.org/abs/2311.03837 w/ @svenhertling @dwsunima

Very proud that @dwsunima alumnus @JanPortisch receives the @SemWebSA distinguished dissertation award. Well done, Jan!

Finally, #RDF2vec is becoming a N̵e̵t̵f̵l̵i̵x̵ ̵s̵e̵r̵i̵e̵s̵ book at @SpringerNature, co-authored by @JanPortisch, @pRistoski, and me. link.springer.com/book/10.10…

I will present our work on the DLCC benchmark for knowledge graph embeddings in the embeddings 2 session at @iswc_conf #iswc2022 in 45 minutes. Paper: arxiv.org/abs/2207.06014 Code: github.com/janothan/DL-TC-Ge… Data: zenodo.org/record/6509715 w/ @JanPortisch @dwsunima

"Gollum: A Gold Standard for Large Scale Multi Source Knowledge Graph #Matching" is accepted for @akbc_conf, introducing a gold standard of 275k correspondences between 4k #knowledgegraphs. Paper: arxiv.org/abs/2209.07479 Data: doi.org/10.5281/zenodo.65234… @svenhertling @dwsunima

Congratulations to @JanPortisch, who sucessfully defended his thesis on "Exploiting General-Purpose #BackgroundKnowledge for Automated #SchemaMatching" yesterday at @dwsunima in front of the jury: @CPesquita @hanvdaa and Christian Bizer!

#eswc2022 was quite a success for @dwsunima: best poster award for @JanPortisch and me, and both @n_heist and myself being recognized as outstanding reviewers :-) 2022.eswc-conferences.org/aw…

#Transformer models do cool things in NLP, and they can also help reducing the search space in #ontology, #schema, and #knowledgegraph #matching. 👉"KERMIT 🐸 A Transformer-Based Approach for Knowledge Graph Matching" arxiv.org/abs/2204.13931 @svenhertling @JanPortisch @dwsunima

Our survey on #BackgroundKnowledge in #OntologyMatching is accepted at @SW_Journal w/ @JanPortisch @MichaelHladik @dwsunima :-) Overall, we reviewed more than 300 papers discussing background knowledge in ontology matching. Key findings of the survey in this thread: (1/7)

Our poster on #ontologymatching through absolute orientation of #embedding spaces has been accepted at @eswc_conf! Preprint here: arxiv.org/abs/2204.04040 Key take away: structurally similar graphs can be aligned by rotation of their corresponding latent embedding spaces.

The zoo of #rdf2vec variants is constantly growing. Our @eswc_conf poster, to be presented at #eswc2022, provides a preliminary comparison of 12 variants, using different walk strategies and #word2vec training modalities. arxiv.org/abs/2204.02777 w/ @JanPortisch @dwsunima