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Chorograph on Twitter
Chorograph on Twitter
How graph data science is applied across various industries!https://t.co/Fmjm1ErG9C— Chorograph (@chorographltd) January 27, 2021
·twitter.com·
Chorograph on Twitter
Teodora Petkova on Twitter
Teodora Petkova on Twitter
"A Review of the Semantic Web Field," by @PascalHitzler @KState, looks at the history, key concepts, #standards, and prominent outcomes of Semantic Web research https://t.co/riJ7rz9gGC. Hitzler discusses his work in an original video at https://t.co/B5jKfzrKIt. pic.twitter.com/JyqXetKLAq— Communications of the ACM (@CACMmag) January 26, 2021
·twitter.com·
Teodora Petkova on Twitter
Learning SPARQL on Twitter
Learning SPARQL on Twitter
I just wrote a blog about a 1 hour experiment I did today: using hugging face transformer QA model and SPARQL queries to DBPedia for a simple natural language interface: https://t.co/QjfvWHNTsv— mark_l_watson (@mark_l_watson) January 18, 2021
·twitter.com·
Learning SPARQL on Twitter
Neo4j on Twitter
Neo4j on Twitter
Gram: a data #graph format. https://t.co/bVs9TeEVBM pic.twitter.com/Dc7E8haxm5— Graphs & Networks (@TheOrbifold) January 26, 2021
·twitter.com·
Neo4j on Twitter
WikiResearch on Twitter
WikiResearch on Twitter
New #openaccess research from @jjkoehorst and colleagues: A protocol for adding knowledge to #Wikidata: aligning resources on human coronaviruses. #Covid19 Read it here: https://t.co/TWkHhRPlA1 pic.twitter.com/ayoSFs0ztd— BMC Biology (@BMCBiology) January 25, 2021
·twitter.com·
WikiResearch on Twitter
Language Models are Open Knowledge Graphs (Paper Explained)
Language Models are Open Knowledge Graphs (Paper Explained)
#ai #research #nlp Knowledge Graphs are structured databases that capture real-world entities and their relations to each other. KGs are usually built by human experts, which costs considerable amounts of time and money. This paper hypothesizes that language models, which have increased their performance dramatically in the last few years, contain enough knowledge to use them to construct a knowledge graph from a given corpus, without any fine-tuning of the language model itself. The resulting system can uncover new, unknown relations and outperforms all baselines in automated KG constructi...
·youtube.com·
Language Models are Open Knowledge Graphs (Paper Explained)
IPRally is building a knowledge graph-based search engine for patents
IPRally is building a knowledge graph-based search engine for patents
IPRally, a burgeoning startup out of Finland aiming to solve the patent-search problem, has raised €2 million in seed funding. Leading the round is JOIN Capital and Spintop Ventures, with participation from existing pre-seed backer Icebreaker VC. It brings the total raised by the 2018-founded company to €2.35 million. Co-founded by CEO Sakari Arvela, who […]
·t.co·
IPRally is building a knowledge graph-based search engine for patents
Giuseppe Futia on Twitter
Giuseppe Futia on Twitter
"Semantic Models for Constructing #KnowledgeGraphs"My new article for @TDataScience, inspired by the original research of @caknoblock @szeke @JoseAmbite @taheriyan @dipsykapoor @USC_ISIhttps://t.co/hOZzAAP2usOther articles on a similar topic: https://t.co/GgiAPWQBFX pic.twitter.com/zemF3xAzDA— Giuseppe Futia (@giuseppe_futia) December 16, 2020
·twitter.com·
Giuseppe Futia on Twitter
Learning SPARQL on Twitter
Learning SPARQL on Twitter
Nice table of of RDF*/SPARQL* implementations under “Preliminary implementations” at https://t.co/VhNSOcM93s— Learning SPARQL (@LearningSPARQL) December 17, 2020
·twitter.com·
Learning SPARQL on Twitter
Aaron Bradley on Twitter
Aaron Bradley on Twitter
Graph integration of structured, semistructured and unstructured data for data journalism https://t.co/rVzMyPDQSF pic.twitter.com/ohR6biQ9Rj— Aaron Bradley (@aaranged) December 17, 2020
·twitter.com·
Aaron Bradley on Twitter
Aaron Bradley on Twitter
Aaron Bradley on Twitter
Smart Mobility Ontology: Current Trends and Future Directions https://t.co/aMdQqQaUGj pic.twitter.com/Y4nYRU6BiI— Aaron Bradley (@aaranged) December 17, 2020
·twitter.com·
Aaron Bradley on Twitter
Aaron Bradley on Twitter
Aaron Bradley on Twitter
Building and Using Personal Knowledge Graph to Improve Suicidal Ideation Detection on Social Media https://t.co/pLMXCgQOEx pic.twitter.com/xnt1jhcmdE— Aaron Bradley (@aaranged) December 17, 2020
·twitter.com·
Aaron Bradley on Twitter
Teodora Petkova on Twitter
Teodora Petkova on Twitter
Things gone "meta" :) https://t.co/BtdsUxUU6P Knowledge Graph about Knowledge Graphs.— Teodora Petkova (@TheodoraPetkova) December 18, 2020
·twitter.com·
Teodora Petkova on Twitter
Pierre Levy on Twitter
Pierre Levy on Twitter
#Netflix support content decision makers with #MachineLearning and #KnowledgeGraphs. All based on #Metadata given by human experts. https://t.co/EWA3GbY6ZG— Pierre Levy (@plevy) December 20, 2020
·twitter.com·
Pierre Levy on Twitter
Aaron Bradley on Twitter
Aaron Bradley on Twitter
Not only an interesting paper having to do with knowledge graphs and wind turbines, but some of the illustrations *look like turbine blades viewed head on* - how cool is that? ;) https://t.co/WwhShrVA6G pic.twitter.com/okPtFCL0k0— Aaron Bradley (@aaranged) December 22, 2020
·twitter.com·
Aaron Bradley on Twitter
Michael Bronstein on Twitter
Michael Bronstein on Twitter
We kicked off our #NeurIPS2020 series joined by @TacoCohen, ML Researcher at @Qualcomm @Qualcomm_Tech, to discuss his current research in equivariant networks and video compression using generative models, as well as his paper “Natural Graph Networks.”— The TWIML AI Podcast (@twimlai) December 22, 2020
·twitter.com·
Michael Bronstein on Twitter
WikiResearch on Twitter
WikiResearch on Twitter
"Semantic Annotation for Tabular Data", using knowledge graphs like #DBPedia and #Wikidata.(Khurana and Galhotra, 2020)https://t.co/75kUf4lRvM pic.twitter.com/MUHpeMsGO0— WikiResearch (@WikiResearch) December 23, 2020
·twitter.com·
WikiResearch on Twitter
Pierre Levy on Twitter
Pierre Levy on Twitter
#neurosymbolic #AI = #DeepLearning x #KnowledgeGraphs https://t.co/ZMV0UPjchK— Pierre Levy (@plevy) December 24, 2020
·twitter.com·
Pierre Levy on Twitter
Pierre Levy on Twitter
Pierre Levy on Twitter
#NeuroSymbolic #AI is merging symbolic (#KnowledgeGraphs) and statistical (#deeplearning) Artificial Intelligence. https://t.co/bnCNvlUMeY— Pierre Levy (@plevy) December 24, 2020
·twitter.com·
Pierre Levy on Twitter