activity
19992021
most citedGenerating Knowledge Graphs by Employing Natural Language Processing and Machine Learning Techniques within the Scholarly Domain

106 citations · 288 across the 7 of their papers we have counts for

collaborators
Showing 2021Show all

5 papers · 1 filter

cs.AI202161 cited

Trans4E: Link Prediction on Scholarly Knowledge Graphs

Mojtaba Nayyeri, Gokce Muge Cil, Sahar Vahdati +8

The incompleteness of Knowledge Graphs (KGs) is a crucial issue affecting the quality of AI-based services. In the scholarly domain, KGs describing research publications typically…

cs.IR202175 cited

The CSO Classifier: Ontology-Driven Detection of Research Topics in Scholarly Articles

Angelo A. Salatino, Francesco Osborne, Thiviyan Thanapalasingam +1

Classifying research papers according to their research topics is an important task to improve their retrievability, assist the creation of smart analytics, and support a variety o…

cs.AI20211 cited

Commonsense Spatial Reasoning for Visually Intelligent Agents

Agnese Chiatti, Gianluca Bardaro, Enrico Motta +1

Service robots are expected to reliably make sense of complex, fast-changing environments. From a cognitive standpoint, they need the appropriate reasoning capabilities and backgro…

cs.DL202122 cited

Improving Editorial Workflow and Metadata Quality at Springer Nature

Angelo A. Salatino, Francesco Osborne, Aliaksandr Birukou +1

Identifying the research topics that best describe the scope of a scientific publication is a crucial task for editors, in particular because the quality of these annotations deter…

cs.DL202123 cited

Ontology-Based Recommendation of Editorial Products

Thiviyan Thanapalasingam, Francesco Osborne, Aliaksandr Birukou +1

Major academic publishers need to be able to analyse their vast catalogue of products and select the best items to be marketed in scientific venues. This is a complex exercise that…