Petr KnothSenior Research Fellow in Text and Data Mining
I lead an R&D team working in the domains of text-mining, digital libraries and open access/science. I am the founder, product and team leader for CORE, which is a service that aggregates millions of open access articles from around the world and makes them available for people to search and machines to text-mine.
Previously, I worked as a Senior Data Scientist at Mendeley on information extraction and content recommendation for research. I have a deep interest in the use of AI to improve research workflows. I have co-founded Semantometrics.org which aim to go beyond bibliometrics and altmetrics to produce new research evaluation methods that make use of the publication full-texts in research assessment.
I have been involved as a researcher and as a PI in a number of European Commission, national and international funded research projects in the areas of text-mining, open science and eLearning.
Keys: Natural Language Processing, Text and data mining Open Access, Open Science, Scholarly communication Information Retrieval, Information Extraction, Recommendation systems, Scientometrics
02 Jan 2018
18 Dec 2017
01 Nov 2017
31 Oct 2017
19 Jul 2017
Herrmannova, D., Knoth, P. and Patton, R. (2018) Analyzing Citation-Distance Networks for Evaluating Publication Impact, 11th edition of the Language Resources and Evaluation Conference (LREC 2018)
Herrmannova, D., Patton, R., Knoth, P. and Stahl, C. (2018) Do Citations and Readership Identify Seminal Publications?, Scientometrics, Springer Netherlands
Pride, D. and Knoth, P. (2017) Incidental or influential? A decade of using text-mining for citation function classification, 16th International Conference on Scientometrics & Informetrics, Wuhan, China.
Charalampous, A. and Knoth, P. (2017) Classifying document types to enhance search and recommendations in digital libraries, 21st International Conference on Theory and Practise of Digital Libraries (TPDL), Thessaloniki, Greece
Knoth, P., Gooch, P. and Jack, K. (2017) What Others Say About This Work? Scalable Extraction of Citation Contexts from Research Papers, 21st International Conference on Theory and Practise of Digital Libraries (TPDL), Thessaloniki, Greece