Diego Reforgiato

🚀 #AI and #KnowledgeGraphs are revolutionizing #BigData management! Excited to share our latest paper on managing data platform catalogs as #KnowledgeGraphs, boosting flexibility and robustness. 🔗 Paper: rdcu.be/edbnq #DataScience #MachineLearning #Research

Exciting news! We've published a new study on #LargeLanguageModels for #CitationPrediction, revealing that top-performing models rival the capabilities of experienced researchers. In #OpenAccess here: sciencedirect.com/science/articl… #DataScience #MachineLearning #AIprogress #Transformers

Language models such as #ChatGPT can produce apparently plausible, but often incorrect scientific facts. #AI for #OpenScience requires verifiable #KnowledgeGraphs of research data. We showed their ability to produce new knowledge in our last paper: oro.open.ac.uk/85976/.

#SCICERO is our last #DeepLearning and #NLP solution for extracting claims about methods, tasks, and materials from the #ScientificLiterature. Produced a #KnowledgeGraph (CS-KG, w3id.org/cskg/) of 41M statements from 7M articles. Paper: oro.open.ac.uk/85472/ @kmiou

🏆Summer '21 to '22 most successful Springer STM books were with #ComputerScience ➡️category best-selling: The Algorithm Design Manual by Steven Skiena 👉bit.ly/3E4GwDq ➡️category best-downloaded: Data Science for Economics and Finance 👉bit.ly/3hvkbHu

@EU_ScienceHub + @diegoref's 📖 on #DataScience for Economics and Finance - Methodologies and Applications is the most downloaded book this year @springerscience 🥇🏆 🤩Hugely proud of my team!

A new paper published by Diego Reforgiato Recupero from Italy. Technology Enhanced Learning Using Humanoid Robots #humanrobotinteraction #virtualreality #voiceassistanttechnology #roboticoperatingsystem mdpi.com/1999-5903/13/2…

The lecture "Big Data for Robotics" has been given by @R2M and @HRILAB according to the #ERW2020 event eu-robotics.net/robotics_week/…

Our paper "Generating #KnowledgeGraphs by Employing #NaturalLanguageProcessing and #MachineLearning Techniques within the Scholarly Domain" was published by #FGCS. Using #DeepLearning for describing tasks, methods, and materials in #Science. Here: arxiv.org/abs/2011.01103 #AI

When Engineering enters Epistemology. The concept of Laplace's Demon introduced by @vtresp #DL4KG2019 #ESWC2019 @eswc_conf

#DL4KG2019 well deserved Workshop Dinner. #ESWC2019 @em_alam @lysander07 @FraOsborne

@em_alam is presenting her inspiring positional paper on Knowledge Graphs and Metaphors at #DL4KG2019 , #eswc2019.

@GenAsefa on KG embeddings with literals at #DL4KG2019 workshop at #ESWC2019 @FIZKarlsruhe @KITKarlsruhe

M. Jurisch starting afternoon session of #dl4kg2019 @eswc_conf with Graph Convolutions

"You only see what you know". The starting point for a smart perception by machines using Deep Learning and Knowledge Graphs #DL4KG2019 #ESWC2019 @eswc_conf

The importance of learning embeddings of literal data included in Knowledge Graphs @GenAsefa @lysander07 #DL4KG2019 #ESWC2019 @eswc_conf

At the #DL4KG2019 workshop, co-located with #ESWC2019 Mehwish Alam asks: Can KGs and DL help in Representing, Detecting and Interpreting Metaphors? @FIZKarlsruhe @em_alam

Very interesting use of R-GCN for ontology alignment shown by @ml_wi cc @giovannigarifo #DL4KG2019 #ESWC2019

@pgroth is presenting his work on query answering at #DL4KG2019, #ESWC2019. Very inspiring!

DL4KG 2019 dinner... happening now.... a successful edition... #dl4kg2019 #eswc2019 @eswc_conf