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20182026
most citedGenerating Knowledge Graphs by Employing Natural Language Processing and Machine Learning Techniques within the Scholarly Domain

106 citations · 327 across the 13 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.AI2021★ 61 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.DL2021

Detection, Analysis, and Prediction of Research Topics with Scientific Knowledge Graphs

Angelo Salatino, Andrea Mannocci, Francesco Osborne

Analysing research trends and predicting their impact on academia and industry is crucial to gain a deeper understanding of the advances in a research field and to inform critical…

cs.IR2021★ 75 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.DL2021★ 22 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.DL2021★ 23 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…