Members of KMi’s Scholarly Knowledge Modelling Research Group have been announced as winners of the In-Use Paper Award at the International Semantic Web Conference, which is the premiere scientific venue for the Semantic Web and Knowledge Graphs community. The award was given for the paper entitled Leveraging Knowledge Graph Technologies to Assess Journals and Conferences […]
In partnership with Springer Nature and the University of Cagliari, the Scholarly Knowledge Research Group at The Open University’s Knowledge Media Institute has developed the AIDA Dashboard, an innovative tool for exploring and making sense of the dynamics of research topics, scientific conferences and journals in Computer Science. These capabilities can be used to provide […]
KMi’s Scholarly Knowledge Mining team (SKM) and Springer Nature have formally agreed to extend their strategic collaboration agreement until March 2022. The new contract defines the latest chapter in a highly successful strategic partnership, which started back in 2014 and has since gone from strength to strength. During these years the SKM team has established itself has one of […]
The Conference Dashboard (also known as AIDA Dashboard) is a tool for exploring and making sense of scientific conferences which integrates statistical analysis, semantic technologies, and visual analytics. The dashboard was developed in collaboration with Springer Nature for assisting editors in assessing conferences, but it also supports several other use cases. Compared to other state-of-the-art […]
Last November, at the 19th International Semantic Web Conference, we presented one of our latest research efforts: the AIDA Dashboard. The AIDA Dashboard, is a tool that we developed in collaboration with the University of Cagliari (IT), and by integrating statistical analysis, semantic technologies, and visual analytics techniques allows users to explore and make sense […]
The Smart Topic Miner, which is an innovative state-of-the-art AI application for automating editorial processes at Springer Nature and improving access to scientific knowledge, has been shortlisted for the “Most Innovative use of AI” DataIQ 2020 Awards. Smart Topic Miner analyses scientific publications in Computer Science and classifies them with very high accuracy in terms […]
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. […]
We are extremely pleased to see that our paper about Klink-2 [1] is included in the list generated by Google Scholar (link), which presents the most cited papers published in the past 5 years at the International Semantic Web Conference (ISWC). This is the main international forum for showcasing the latest academic and industrial results […]
Scholarly Knowledge Mining
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