The "string2vocabulary" tool for data reconciliation on #RDF #KnowledgeGraphs is now in v0.7. New feature: support for named graphs (RDF Dataset). Check this at:

How many GPUs does it take to run ChatGPT? And how expensive is it for OpenAI? Let’s find out! 🧵🤑

"From tabular data to knowledge graphs: A survey of semantic table interpretation tasks and methods" ... the largest up-to-date survey on #semantic #tabular #data #interpretation is now published, https://t.co/ubgU9XOXD5. By @yansera1 @yoan_chabot and colleagues @Orange_Future

Proud of the research work done by @yansera1 and the team @Orange_Future @vp_huynh @EURECOM @rtroncy A good opportunity to highlight Orange's contributions to the Open-Source community with almost 300 code repositories available on https://t.co/p4OIbq8tSH #proudtobeorange

Jixiong Liu is suring the work "Radar Station: Using KG Embeddings for Semantic Table Interpretation and Entity Disambiguation". #iswc_conf #iswc2022

Do you want to boost your STI system? Use "Radar Station" that uses KG embeddings for better disambiguating table cells! Explainer by @yansera1 at #iswc2022 #iswc_conf Paper: https://t.co/HC7hlnk4T2 Slides: https://t.co/Zfn4FM3ugz Github: https://t.co/4QtWQ1eUgr cc @yoan_chabot

Two years in a row!🥇🎊🎉 The DAGOBAH team is honoured to receive again the first prize for accuracy at the SemTab challenge https://t.co/vhiTSYZStg Watch this year's improvement: https://t.co/cdo06XhMcV Great collaboration between @Orange_Future and @EURECOM #iswc2022 #iswc_conf

Our research group is excited to have so many opportunities to share our work and discuss with the #KnowledgeGraph community during #iswc2022 Here is a quick overview (more details + links will follow) @Orange_Future @yansera1 @vp_huynh @tau_labbe @piermonn @EURECOM @rtroncy 1/5

P. Huynh is giving the presentation on DAGOBAH system. #iswc_conf #iswc2022

"From Heuristics to Language Models: A Journey Through the Universe of Semantic Table Interpretation with DAGOBAH" being presented at #iswc2022 #iswc_conf by @vp_huynh. Video preview at https://t.co/AX22j5tHcn and remember that you can test the system at

Happy to announce that our research paper "Radar Station: Using KG Embeddings for Semantic Table Interpretation and Entity Disambiguation" has been accepted at #ISWC2022! This work is a collaboration with talents from @Orange_Future and @EURECOM. @vp_huynh @yoan_chabot @rtroncy

I can even see that the light is on.🥲

https://t.co/A9Iyvc7S1o IT PASSED MY HOME AT 4:55!!!!!!!! Hopefully, my dad is there at that moment. 🥲

Congrats to @orange researchers within DAGOBAH team who won "accuracy track" first prize. Discover our publication on this #semantic annotation system of tabular #data, to generate knowledge graphs. 👉 https://t.co/nNoynAOGKO w/ @piermonn @tau_labbe @yoan_chabot @yansera1

Happy new year!😁

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After an important work on the performance and scalability of #DAGOBAH, we reached the podium of #SemTab2020 Round 2 \o/ Thrilled to announce that we will present our work on semantic annotation of tables during #ISWC2020 @iswc_conf @Orange_Future @EURECOM

See you tomorrow 15:30 UTC+2, Session Inference and Annotation in the SemWeb of the conference #IC2020. @yansera1 will talk about Tables to Knowledge Graph Matching and DAGOBAH, an approach proposed by @Orange Research and @EURECOM Registration is free

How to make tabular data speak using #KnowledgeGraph and #GraphEmbeddings? Let’s board for a journey to #DAGOBAH with @Orange_Future!🚀 https://t.co/YSgYWJd8tR DAGOBAH is an ongoing @orange/@EURECOM project that will participate again this year in the #ISWC #SemTab2020 challenge

Guitar for a while. Bless my poor monitor