| The Computer Science Ontology: a large-scale taxonomy of research areas AA Salatino, T Thanapalasingam, A Mannocci, F Osborne, E Motta International Semantic Web Conference, 187-205, 2018 | 180 | 2018 |
| The CSO Classifier: Ontology-driven detection of research topics in scholarly articles AA Salatino, F Osborne, T Thanapalasingam, E Motta International Conference on Theory and Practice of Digital Libraries, 296-311, 2019 | 100 | 2019 |
| The computer science ontology: A comprehensive automatically-generated taxonomy of research areas AA Salatino, T Thanapalasingam, A Mannocci, A Birukou, F Osborne, ... Data Intelligence 2 (3), 379-416, 2020 | 72 | 2020 |
| AUGUR: forecasting the emergence of new research topics AA Salatino, F Osborne, E Motta Proceedings of the 18th ACM/IEEE on joint conference on digital libraries …, 2018 | 68 | 2018 |
| Automatic classification of springer nature proceedings with smart topic miner F Osborne, A Salatino, A Birukou, E Motta The Semantic Web–ISWC 2016: 15th International Semantic Web Conference, Kobe …, 2016 | 62 | 2016 |
| Trans4E: Link prediction on scholarly knowledge graphs M Nayyeri, GM Cil, S Vahdati, F Osborne, M Rahman, S Angioni, ... Neurocomputing 461, 530-542, 2021 | 58 | 2021 |
| How are topics born? Understanding the research dynamics preceding the emergence of new areas AA Salatino, F Osborne, E Motta PeerJ Computer Science 3, e119, 2017 | 50* | 2017 |
| AIDA: A knowledge graph about research dynamics in academia and industry S Angioni, A Salatino, F Osborne, DR Recupero, E Motta Quantitative Science Studies 2 (4), 1356-1398, 2021 | 41* | 2021 |
| Integrating knowledge graphs for analysing academia and industry dynamics S Angioni, AA Salatino, F Osborne, DR Recupero, E Motta ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium …, 2020 | 36 | 2020 |
| Improving editorial workflow and metadata quality at springer nature AA Salatino, F Osborne, A Birukou, E Motta The Semantic Web–ISWC 2019: 18th International Semantic Web Conference …, 2019 | 34 | 2019 |
| Integrating conversational agents and knowledge graphs within the scholarly domain A Meloni, S Angioni, A Salatino, F Osborne, DR Recupero, E Motta Ieee Access 11, 22468-22489, 2023 | 29 | 2023 |
| Artificial intelligence for literature reviews: Opportunities and challenges F Bolanos, A Salatino, F Osborne, E Motta Artificial Intelligence Review 57 (10), 259, 2024 | 26 | 2024 |
| Data-driven Methodology for Knowledge Graph Generation within the Tourism Domain A Chessa, G Fenu, E Motta, F Osborne, DR Recupero, A Salatino, ... IEEE Access 11, 67567 - 67599, 2023 | 23 | 2023 |
| New trends in scientific knowledge graphs and research impact assessment P Manghi, A Mannocci, F Osborne, D Sacharidis, A Salatino, T Vergoulis Quantitative Science Studies 2 (4), 1296-1300, 2021 | 23* | 2021 |
| Advanced classification of Alzheimer's disease and healthy subjects based on EEG markers V Bevilacqua, AA Salatino, C Di Leo, G Tattoli, D Buongiorno, D Signorile, ... 2015 International Joint Conference on Neural Networks (IJCNN), 1-5, 2015 | 23 | 2015 |
| Cso classifier 3.0: a scalable unsupervised method for classifying documents in terms of research topics A Salatino, F Osborne, E Motta International Journal on Digital Libraries, 1-20, 2022 | 22 | 2022 |
| Classifying Research Papers with the Computer Science Ontology AA Salatino, T Thanapalasingam, A Mannocci, F Osborne, E Motta | 22 | 2018 |
| Researchflow: Understanding the knowledge flow between academia and industry A Salatino, F Osborne, E Motta International Conference on Knowledge Engineering and Knowledge Management …, 2020 | 21 | 2020 |
| Ontology forecasting in scientific literature: Semantic concepts prediction based on innovation-adoption priors AE Cano-Basave, F Osborne, AA Salatino Knowledge Engineering and Knowledge Management: 20th International …, 2016 | 18 | 2016 |
| Link prediction of weighted triples for knowledge graph completion within the scholarly domain M Nayyeri, GM Cil, S Vahdati, F Osborne, A Kravchenko, S Angioni, ... Ieee Access 9, 116002-116014, 2021 | 17* | 2021 |
Francesco OsborneKMi, The Open Universityopen.ac.uk의 이메일 확인됨
