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.

David Pride

David Pride

David Pride

Catherine Kuliavets

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

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

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

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