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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.

News

10 Mar 2020

Catherine Kuliavets


25 Feb 2020

Catherine Kuliavets


11 Feb 2020

Catherine Kuliavets


09 Dec 2019

Chris Valentine


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Publications

 

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

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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

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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

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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

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Knoth, P. and Khadka, A. (2017) Can we do better than co-citations? Bringing Citation Proximity Analysis from idea to practice in research articles recommendation, Workshop: 2nd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2017) at The 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017)

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