Mindblowing momentum behind Aura right now. 7 month after we pivoted the roadmap in the midst of COVID, we today announce General Availability of Aura Enterprise on GCP, and open up the EAP for AWS! Check out that list of customers & breadth of use cases! https://t.co/EQXqJNK6lv pic.twitter.com/VbozcQHdUi— Emil Eifrem (@emileifrem) January 27, 2021

Discuss: "We shouldn’t be fixated on the graph itself, but on enabling knowledge workflows. KG technologies allow the introduction of automation into information worker workflows, helping them save time on mundane information processing tasks." @mikektung https://t.co/nLwRPLOlly— Aaron Bradley (@aaranged) January 21, 2021

Bias in ontologies - a preliminary assessment / C. Maria Keet https://t.co/x1VaU9yX4R 2/2 pic.twitter.com/pdeyXdmFZs— Aaron Bradley (@aaranged) January 21, 2021

How graph data science is applied across various industries!https://t.co/Fmjm1ErG9C— Chorograph (@chorographltd) January 27, 2021

"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

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

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

Today’s most pressing data challenges center around connections, not just tabulating discrete data. The ability for graph data science…

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 […]

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

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

Things gone "meta" :) https://t.co/BtdsUxUU6P Knowledge Graph about Knowledge Graphs.— Teodora Petkova (@TheodoraPetkova) December 18, 2020

“Wikipedia Knowledge Graph for Explainable AI” conference paper https://t.co/4SXkKKgDMK— Learning SPARQL (@LearningSPARQL) December 19, 2020

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

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

#neurosymbolic #AI = #DeepLearning x #KnowledgeGraphs https://t.co/ZMV0UPjchK— Pierre Levy (@plevy) December 24, 2020

#NeuroSymbolic #AI is merging symbolic (#KnowledgeGraphs) and statistical (#deeplearning) Artificial Intelligence. https://t.co/bnCNvlUMeY— Pierre Levy (@plevy) December 24, 2020

On the other hand, the post on the applications of #GraphML for the design of anti-#cancer #hyperfoods written with Kirill Veselkov and Gabriella Sbordone that took me the most time to produce did not attract as many views as I expected: https://t.co/FNy4LSsrUj pic.twitter.com/NxXPeMX7TF— Michael Bronstein (@mmbronstein) January 4, 2021

DISCOS: Bridging the Gap between Discourse Knowledge and Commonsense Knowledge https://t.co/YUdiAub4yu pic.twitter.com/FW3NLf6j50— Aaron Bradley (@aaranged) January 5, 2021

Merry Christmas !All my research is ready to be used by all professionals of #SPARQL, you just need to install this plugin in your IDE (IDEA or PHPStorm, Android, PyCharm, etc.)https://t.co/gM8y2C6mL8Do not hesitate if you have any problems. #LinkedData #LOD #Wikidata— Karima Rafes (@karima_rafes) December 24, 2020

A Survey on Embedding Dynamic Graphs https://t.co/FXxlusD76c pic.twitter.com/p9t1d9PhY1— Aaron Bradley (@aaranged) January 6, 2021

Cool tool alert: LD Wizard takes a CSV, asks you for a key column, and converts the CSV into linked data (N-Triples). This upcoming demo is in Dutch, but the wizard itself (https://t.co/x8JewmGsEv) walk-through video by @wgjbeek (https://t.co/aa08r7Xy5m) & docs are in English https://t.co/dEyCXSQRk7 pic.twitter.com/bN8ntYf44l— Aaron Bradley (@aaranged) January 7, 2021

"Once you have a model, you can integrate it into your operational environment, measure its variables, observe its dynamics, incorporate operational measures based on different model criteria, and continuously refine and adjust it." @marmanis https://t.co/MjzK4UQww1— Aaron Bradley (@aaranged) January 7, 2021

Knowledge Graphs and COVID-19: Opportunities, Challenges, and Implementation · Special Issue 1 - COVID-19: Unprecedented Challenges and Chanceshttps://t.co/mzCgtR0oqZ— Aaron Bradley (@aaranged) January 7, 2021

Covid-on-the-Web: Knowledge Graph and Services to Advance COVID-19 Research - Archive ouverte HALhttps://t.co/976vB8U2Nj— Aaron Bradley (@aaranged) January 7, 2021

Coronavirus Knowledge Graph: A Case Study - NASA/ADShttps://t.co/ZP7RshH7HW— Aaron Bradley (@aaranged) January 7, 2021

COVID-19 knowledge graph: Accelerating information retrieval and discovery for scientific literaturehttps://t.co/1pEcUtYJ7s— Aaron Bradley (@aaranged) January 7, 2021

“Triples that include a triple as a subject or an object are known as RDF* triples.” https://t.co/d6boIJ5Ol7— Tony Hammond (@tonyhammond) January 10, 2021

"... we present a new generic recommendation systems framework, that integrates knowledge graphs into the recommendation pipeline." > Application of Knowledge Graphs to Provide Side Information for Improved Recommendation Accuracy https://t.co/rL5idtE1px pic.twitter.com/2iRm0YyQP2— Aaron Bradley (@aaranged) January 11, 2021