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

core connecting repositories technology full details

CORE - COnnecting REpositories

Linking semantically similar publications from Open Access repositories using text mining from full-text and representing the relations as Linked Data

CORE (core.ac.uk) aims to aggregate all open access research outputs from repositories and journals worldwide and make them available to the public. In this way CORE facilitates free unrestricted access to research for all.

20 May 2025

Nancy Pontika


04 Apr 2025

Nancy Pontika


20 Mar 2025

Nancy Pontika


13 Feb 2025

Nancy Pontika


27 Mar 2024

David Pride


View all Articles

Publications

Publications | Visit External Site for Details Publications | Visit External Site for Details  

Pride, D. and Knoth, P. (2020) An Authoritative Approach to Citation Classification, ACM/IEEE Joint Conference on Digital Libraries in 2020 (JCDL '20), Virtual - China

 

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

Publications | Visit External Site for Details  

Shearer, K., Rodrigues, E., Bollini, A., Cabezas, A., Castelli, D., Carr, L., Chan, L., Humphrey, C., Johnson, R., Knoth, P., Manghi, P., Matizirofa, L., Perakakis, P., Schirrwagen, J., Smith, T., Sompel, H., Walk, P., Wilcox, D. and Yamaji, K. (2018) Next generation repositories: Scaling up repositories to a global knowledge commons, Open Repositories 2018, Bozeman, Montana

Publications | Visit External Site for Details  

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

Publications | Visit External Site for Details  

Cancellieri, M., Pontika, N., Pearce, S., Anastasiou, L. and Knoth, P. (2017) Building scalable digital library ingestion pipelines using microservices, MTSR'17 : 11th International Conference on Metadata and Semantics Research, Tallin, Estonia

View all 20 publications

View By

Research Themes

Latest Seminar
Dr. Ángel Pavón Pérez
KMi, The Open University

Enhancing Fairness in Machine Learning: Identifying and Mitigating Bias with a Focus on Gender Bias in Finance

Watch the live webcast

#kmiou on Bluesky

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