Member
Petr Knoth
Professor of Data Science
+44 (0)1908 654548
Petr Knoth is a full professor at the Knowledge Media institute, The Open University. He leads the Big Scientific Data and Text Analytics Group (BSDTAG) which conducts research and develops new technologies powered by AI in the area of the machine processing of scientific information. He is the Founder and Head of CORE (core.ac.uk), a large not-for-profit full text indexing system for open access papers with millions of monthly active users. CORE makes research papers available for people to freely discover and access, and for machines to text-mine.
In this capacity, Petr has been involved in numerous knowledge exchange cooperations with enterprises, funders and not-for-profit organisations, supporting a wide variety of use cases requiring scalable access to research content.
Petr has a deep interest in the use of AI to improve research workflows. He has been involved as a researcher and as a PI in over 25 European Commission, national and international funded research projects in the areas of NLP, AI, Open Science and Technology Enhanced Learning.
Keys: Natural Language Processing, Text and data mining Open Access, Open Science, Scholarly communication Information Retrieval, Information Extraction, Recommendation systems, Scientometrics
Team: Valeriy Budko, Matteo Cancellieri, , Viktoriia Pavlenko, David Pride, Anton Zhuk
Projects
Technologies
Frictionless Data Exchange Across Research Data, Software and Scientific Paper Repositories
News
16 Jul 2024
27 Mar 2024
20 Mar 2024
20 Mar 2024
20 Mar 2024
Publications
Kusa, W., Knoth, P. and Hanbury, A. (2023) CRUISE-Screening: Living Literature Reviews Toolbox, CIKM '23: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, Birmingham, UK
Ghafourian, Y., Hanbury, A. and Knoth, P. (2023) Ranking for Learning: Studying Users' Perceptions of Relevance, Understandability, and Engagement, International Conference on Theory and Practice of Digital Libraries TPDL 2023: Linking Theory and Practice of Digital Libraries, Zadar, Croatia
Ghafourian, Y., Hanbury, A. and Knoth, P. (2023) Readability Measures as Predictors of Understandability and Engagement in Searching to Learn, Linking Theory and Practice of Digital Libraries 27th International Conference on Theory and Practice of Digital Libraries, TPDL 2023, Zadar, Croatia
Pride, D., Cancellieri, M. and Knoth, P. (2023) CORE-GPT: Combining Open Access Research and Large Language Models for Credible, Trustworthy Question Answering, International Conference on Theory and Practice of Digital Libraries TPDL 2023: Linking Theory and Practice of Digital Libraries, Zadar, Croatia
Kusa, W., Zuccon, G., Knoth, P. and Hanbury, A. (2023) Outcome-based Evaluation of Systematic Review Automation, ICTIR '23: Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval, Taipei, Taiwan
