A B C D E F G H I J K L M N O P Q R S T U V W X Y Z all

Member

Petr KnothMember status icon

Professor of Data Science
Petr Knoth Photograph

Telephone Icon +44 (0)1908 654548

Website Icon Camera Icon RDF Icon

Twitter Icon LinkedIn Icon SlideShare Icon

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

News

16 Jul 2024


27 Mar 2024


20 Mar 2024


20 Mar 2024


20 Mar 2024

View all Articles

Publications

Publications | Visit External Site for Details  

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

Publications | Visit External Site for Details  

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

Publications | Visit External Site for Details  

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

Publications | Visit External Site for Details  

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

Publications | Visit External Site for Details  

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

View all 105 publications

View By

Research Themes

Latest Seminar
Mr Antonello Meloni
Department of Mathematics and Computer Science, University of Cagliari, IT

Large Language Models for Scientific Question Answering: an Extensive Analysis of the SciQA Benchmark

Watch the live webcast

CONTACT US

Knowledge Media Institute
The Open University
Walton Hall
Milton Keynes
MK7 6AA
United Kingdom

Tel: +44 (0)1908 653800

Fax: +44 (0)1908 653169

Email: KMi Support

COMMENT

If you have any comments, suggestions or general feedback regarding our website, please email us at the address below.

Email: KMi Development Team