ABSTRACT: Academia and industry share a complex, multifaceted, and symbiotic relationship. Analysing the knowledge flow between them, understanding which directions have the biggest potential, and discovering the best strategies to harmonise their efforts is a critical task for several stakeholders. While research publications and patents are an ideal media to analyse this space, current datasets […]
Abstract: Academia and industry share a complex, multifaceted, and symbiotic relationship. Analysing the knowledge flow between them, understanding which directions have the biggest potential, and discovering the best strategies to harmonise their efforts is a critical task for several stakeholders. While research publications and patents are an ideal media to analyse this space, current datasets […]
ABSTRACT: Understanding, monitoring, and predicting the flow of knowledge between academia and industry is of critical importance for a variety of stakeholders, including researchers, policymakers, institutional funding bodies, companies operating in the innovation space and others. To this purpose, we introduce ResearchFlow, an approach for quantifying the evolution of research topics across academia and industry. […]
Forecasting the Spreading of Technologies in Research Communities @ K-CAP 2017 from Francesco Osborne
Supporting Springer Nature Editors by means of Semantic Technologies from Francesco Osborne
EKAW 2016 – TechMiner: Extracting Technologies from Academic Publications from Francesco Osborne
EKAW 2016 – Ontology Forecasting in Scientific Literature: Semantic Concepts Prediction Based on Innovation-Adoption Priors from Francesco Osborne
Automatic Classification of Springer Nature Proceedings with Smart Topic Miner from Francesco Osborne
Klink-2: integrating multiple web sources to generate semantic topic networks from Francesco Osborne
Ekaw2014 – Inferring Semantic Relations by User Feedback from Francesco Osborne
Scholarly Knowledge Mining
Digital Humanities
Data Science
Smart Cities and Robotics