Leveraging Knowledge Graph Technologies to Assess Journals and Conferences at Springer Nature

“Leveraging Knowledge Graph Technologies to Assess Journals and Conferences at Springer Nature” is an In-Use paper presented at the 21st International Semantic Web Conference (ISWC 2022).   Simone Angioni1, Angelo Antonio Salatino2, Francesco Osborne2,3,AliaksandrBirukou4, Diego Reforgiato Recupero1, Enrico Motta2 1 Department of Mathematics and Computer Science, University of Cagliari (Italy) 2 Knowledge Media Institute, The Open […]

Read More

Best Paper Award at the In-Use Track ISWC 2022

It is an honour to be prized for the Best Paper Award at the In-Use Track ISWC – International Semantic Web Conference (Premiere Conference in the Semantic Web). Great work in collaboration with Springer Nature and UniCa – Università degli Studi di Cagliari. The paper describes our recent efforts in putting semantic technologies (The AIDA […]

Read More

Sci-K 2022 – International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment

“Sci-K 2022 – International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment” is the introductory chapter of the workshop proceedings of “Sci-K 2022 – International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment” co-located with The Web Conference 2022. Paolo Manghi1, Andrea Mannocci1, Francesco Osborne2, Dimitris Sacharidis3, Angelo Salatino2, Thanasis Vergoulis4 1 CNR-ISTI – National […]

Read More

Enriching Data Lakes with Knowledge Graphs

“Enriching Data Lakes with Knowledge Graphs” is a workshop paper published at “Knowledge Graph Generation from Text” co-located with ESWC 2022. Alessandro Chessa1,2, Gianni Fenu3, Enrico Motta4, Francesco Osborne4,5, Diego Reforgiato Recupero3,Angelo Antonio Salatino4, Luca Secchi1 1 Linkalab s.r.l., Cagliari, Italy 2 Luiss Data Lab, Rome, Italy 3 University of Cagliari, Cagliari, Italy 4 Knowledge Media Institute, The […]

Read More

The AIDA Dashboard: a Web Application for Assessing and Comparing Scientific Conferences

“The AIDA Dashboard: a Web Application for Assessing and Comparing Scientific Conferences” is a research paper submitted to IEEE Access. Simone Angioni1, Angelo Antonio Salatino2, Francesco Osborne2, Diego Reforgiato Recupero1, Enrico Motta2 1 Department of Mathematics and Computer Science, University of Cagliari (Italy) 2 Knowledge Media Institute, The Open University, Milton Keynes (UK)   Abstract […]

Read More

AIDA-Bot: A Conversational Agent to Explore Scholarly Knowledge Graphs

“AIDA-Bot: A Conversational Agent to ExploreScholarly Knowledge Graphs” is a demo paper accepted for presentation at the International Semantic Web Conference (ISWC 2021) poster and demo session. Antonello Meloni1, Simone Angioni1, Angelo Antonio Salatino2, Francesco Osborne2, Diego Reforgiato Recupero1, Enrico Motta2 1 Department of Mathematics and Computer Science, University of Cagliari (Italy) 2 Knowledge Media […]

Read More

RDF Schema of research articles in the Academia/Industry DynAmics (AIDA) Knowledge Graph

Link Prediction of Weighted Triples for Knowledge Graph Completion Within the Scholarly Domain

“Link Prediction of Weighted Triples for Knowledge Graph Completion Within the Scholarly Domain” is a journal paper accepted at IEEE Access Mojtaba Nayyeri1,2, Gökce Müge Cil1, Sahar Vahdati2, Francesco Osborne3, Andrey Kravchenko4, Simone Angioni5, Angelo Salatino3, Diego Reforgiato Recupero5, Enrico Motta3, Jens Lehmann1,6   1 SDA Research Group, University of Bonn, 53115 Bonn, Germany 2 […]

Read More

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

“Detection, Analysis, and Prediction of Research Topics with Scientific Knowledge Graphs” is a book chapter of “Predicting the Dynamics of Research Impact” edited by Springer. Angelo A. Salatino1, Andrea Mannocci2, and Francesco Osborne1 1Knowledge Media Institute – The Open University, Milton Keynes, United Kingdom 2Istituto di Scienza e Tecnologie dell’Informazione “A. Faedo”, Italian National Research […]

Read More

Trans4E: Link Prediction on Scholarly Knowledge Graphs

“Trans4E: Link Prediction on Scholarly Knowledge Graphs” is a journal paper submitted to the Special Issue on “Knowledge Graph Representation & Reasoning” at the Neurocomputing Journal   Mojtaba Nayyeria, Gokce Muge Cila, Sahar Vahdatib, Francesco Osborned, Mahfuzur Rahmana,Simone Angionie, Angelo Salatinod, Diego Reforgiato Recuperoe, Nadezhda Vassilyevaa, Enrico Mottad and Jens Lehmanna,c aSDA Research Group, University […]

Read More