Petr KnothProfessor of Data Science
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.
Previously, Petr worked as a Senior Data Scientist at Mendeley on information extraction and content recommendation for research.
Keys: Natural Language Processing, Text and data mining Open Access, Open Science, Scholarly communication Information Retrieval, Information Extraction, Recommendation systems, Scientometrics
05 Sep 2022
29 Jun 2022
23 May 2022
28 Apr 2022
24 Mar 2022
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
Kusa, W., Lipani, A., Knoth, P. and Hanbury, A. (2023) VoMBaT: A Tool for Visualising Evaluation Measure Behaviour in High-Recall Search Tasks, SIGIR '23: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, Taipei, Taiwan
Kusa, W., (2023) Effective matching of patients to clinical trials using entity extraction and neural re-ranking, Journal of biomedical informatics, pp. [Early Access]
Upadhyay, R., Knoth, P., Pasi, G. and Viviani, M. (2023) Explainable online health information truthfulness in Consumer Health Search, Frontiers in Artificial Intelligence, 6, Frontiers Media S.A.
Kusa, W., Lipani, A., Knoth, P. and Hanbury, A. (2023) An analysis of work saved over sampling in the evaluation of automated citation screening in systematic literature reviews, Intelligent Systems with Applications, 18, Elsevier