Petr KnothSnr 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
Team: Lucas Anastasiou, Valerii Budko, Matteo Cancellieri, Bikash Gyawali, Kateryna Kuliavets, Sergei Misak, Samuel Pearce, Nancy Pontika, David Pride, Svetlana Rumyanceva, Maria Tarasiuk, Viktor Yakubiv
23 Sep 2019
10 Sep 2019
19 Jul 2019
17 Jun 2019
05 Jun 2019
Herrmannova, D., Pontika, N. and Knoth, P. (2019) Do Authors Deposit on Time? Tracking Open Access Policy Compliance, 2019 ACM/IEEE Joint Conference on Digital Libraries, Urbana-Champaign, IL
Pride, D., Harag, J. and Knoth, P. (2019) ACT: An Annotation Platform for Citation Typing at Scale, JCDL 2019 - ACM/IEEE JOINT CONFERENCE ON DIGITAL LIBRARIES 2019, Urbana-Champaign, Illinois
Khadka, A. and Knoth, P. (2018) Using citation-context to reduce topic drifting on pure citation-based recommendation, The 12th ACM Conference on Recommender Systems, Vancouver, British Columbia, Canada
Pride, D. and Knoth, P. (2018) Peer review and citation data in predicting university rankings, a large-scale analysis, 22nd International conference on Theory and Practice of Digital Libraries (TPDL2018), Porto, Portugal Lecture Notes in Computer Science, Springer - (Best Paper Award)
Knoth, P., Anastasiou, L., Pearce, S. and Pontika, M. (2018) Towards a Global Comprehensive Dataset of Open Access Papers for Text Analytics, Open Repositories 2018, Bozeman, Montana