Dr. Francesco Osborne

Research Fellow

I am Research Fellow at the Knowledge Media institute of the Open University in Milton Keynes, UK, where I lead the Scholarly Knowledge Mining (SKM) team. My research covers Artificial Intelligence, Information Extraction, Knowledge Graphs, Science of Science, Semantic Web, Research Analytics, and Semantic Publishing. I have authored more than eighty peer-reviewed publications in top journals and conferences in my research areas, including the Semantic Web Journal, ISWC, ESWC, WebConf, JCDL, TPDL, UMAP, Data Science, Data Intelligence, and the International Journal of Human-Computer Studies.

The SKM team aims at producing innovative approaches leveraging large-scale data mining, semantic technologies, machine learning and visual analytics for making sense of scholarly data and forecast research dynamics. We collaborate with a number of commercial organizations (e.g., Springer Nature, Elsevier, Microsoft, Digital Science, Figshare), non-profit organizations, and universities.

More information about the SKM team at http://skm.kmi.open.ac.uk.

Keywords

Artificial Intelligence, Information Extraction, Knowledge Graphs, Science of Science, Semantic Web, Research Analytics, Semantic Publishing.


Publications

Dessì, Danilo,Osborne, Francesco, Reforgiato Recupero, Diego,Buscaldi, Davide and Motta, Enrico(2021). Generating knowledge graphs by employing Natural Language Processing and Machine Learning techniques within the scholarly domain. Future Generation Computer Systems, 116 pp. 253–264.

Dessì, Danilo,Osborne, Francesco, Reforgiato Recupero, Diego, Buscaldi, Davide,Motta, Enrico and Sack, Harald(2020). AI-KG: an Automatically Generated Knowledge Graph of Artificial Intelligence. In: The Semantic Web – ISWC 2020 (Pan, J.Z.; Tamma, V.; d’Amato, C.; Janowicz, K.; Fu, B.; Polleres, A.; Seneviratne, O. and Kagal, L. eds.), Springer, pp. 127–143.

Salatino, Angelo, Osborne, Francesco and Motta, Enrico(2020). ResearchFlow: Understanding the Knowledge Flow between Academia and Industry. In: Proceedings of the 22nd International Conference on Knowledge Engineering and Knowledge Management (Keet, C. Maria and Dumontier, Michel eds.), Springer, (In Press).

Salatino, Angelo, Thanapalasingam, Thiviyan , Mannocci, Andrea , Birukou, Aliaksandr,Osborne, Francesco and Motta, Enrico(2020). The Computer Science Ontology: A Comprehensive Automatically-Generated Taxonomy of Research Areas. Data Intelligence, 2(3) pp. 379–416.

Salatino, Angelo, Osborne, Francesco, Birukou, Aliaksandr and Motta, Enrico(2019). Improving Editorial Workflow and Metadata Quality at Springer Nature. In: ISWC 2019: The Semantic Web – ISWC 2019, Springer, 11779 pp. 507–525.

Salatino, Angelo, Osborne, Francesco, Thanapalasingam, Thiviyan and Motta, Enrico(2019). The CSO Classifier: Ontology-Driven Detection of Research Topics in Scholarly Articles. In: TPDL 2019: 23rd International Conference on Theory and Practice of Digital Libraries, Lecture Notes in Computer Science, Springer, pp. 296–311.

Mannocci, Andrea , Osborne, Francesco and Motta, Enrico(2019). The Evolution of IJHCS and CHI: A Quantitative Analysis. International Journal of Human-Computer Studies, 131 pp. 23–40.

Osborne, Francesco and Motta, Enrico(2018). Pragmatic Ontology Evolution: Reconciling User Requirements and Application Performance. In: 17th International Semantic Web Conference, Monterey, CA, USA, October 8–12, 2018, Proceedings, Part I (Vrandečić, Denny; Bontcheva, Kalina; Suárez-Figueroa, Mari Carmen; Presutti, Valentina; Celino, Irene; Sabou, Marta; Kaffee, Lucie-Aimée and Simperl, Elena eds.), Springer, Cham, 11136 pp. 495–512.

Salatino, Angelo A., Thanapalasingam, Thiviyan , Mannocci, Andrea , Osborne, Francesco and Motta, Enrico(2018). The Computer Science Ontology: A Large-Scale Taxonomy of Research Areas. In: ISWC 2018: The Semantic Web (Proceedings, Part II) (Vrandečić, Denny; Bontcheva, Kalina; Suárez-Figueroa, Mari Carmen; Presutti, Valentina; Celino, Irene; Sabou, Marta; Kaffee, Lucie-Aimée and Simperl, Elena eds.), Springer, pp. 187–205.

Salatino, Angelo A., Osborne, Francesco and Motta, Enrico(2018). AUGUR: Forecasting the Emergence of New Research Topics. In: JCDL '18: Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries, ACM, New York, NY, USA pp. 303–312.

Projects

AugurGarden MonitorMK:SmartRexploreSmart Book RecommenderSmart Topic MinerSupporting Editorial Activities at Springer Nature

Themes

Artificial Intelligence and Data AnalysisHuman-Centred Computing

Topics

Accessibility, Inclusion, Ethics and Social Justice and Diversity

Learning and Education

New Media and Society

Science and scholarly communication

Groups

Intelligent Systems and Data Science (ISDS)

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