Petr KnothResearch Fellow
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
17 Feb 2017
03 Feb 2017
11 Jan 2017
11 Jul 2016
23 Jun 2016
Knoth, P., Anastasiou, L., Charalampous, A., Cancellieri, M., Pearce, S., Pontika, N. and Bayer, V. (2017) Towards effective research recommender systems for repositories, Open Repositories 2017
Cancellieri, M., Knoth, P. and Krznarich, E. (2017) COR(E)CID: Analysing the use of unique author identifiers in repositories via CORE to support the uptake of ORCID iDs, Poster at Open Repositories (OR2017), Brisbane, Australia
Herrmannova, D., Patton, R., Knoth, P. and Stahl, C. (2017) Citations and readership are poor indicators of research excellence: Introducing TrueID, a new dataset for validating research evaluation metrics, Workshop: Scholarly Web Mining (SWM) at Tenth ACM International Conference on Web Search and Data Mining (WSDM2017)
Hristakeva, M., Kershaw, D., Rossetti, M., Knoth, P., Pettit, B., Vargas, S. and Jack, K. (2017) Building recommender systems for scholarly information, Workshop: Scholarly Web Mining (SWM) at Tenth ACM International Conference on Web Search and Data Mining (WSDM2017), Cambridge, UK
Knoth, P. and Herrmannova, D. (2016) Exploring Semantometrics: full text-based research evaluation for open repositories, Open Repositories 2016, Dublin