CORE vision and mission
If you use CORE, CORE services or CORE data in your research, we kindly request you cite this publication.
Knoth, P. and Zdrahal, Z. (2012) CORE: Three Access Levels to Underpin Open Access, D-Lib Magazine, 18, 11/12, Corporation for National Research Initiatives.
Sets the vision for creating the CORE service, developing global-wide content aggregation of all open access research literature (on top of OAI-PMH protocol for metadata harvesting and other protocols). It sets the mission to develop the three access levels (access at the granularity of papers; analytical access; access to raw data) via CORE.
CORE aggregation approaches and infrastructure
Knoth, P. (2013). From Open Access Metadata to Open Access Content: Two Principles for Increased Visibility of Open Access Content. Open Repositories 2013, Charlottetown, Prince Edward Island, Canada.
This paper describes the two principles that should be followed to ensure that content can be properly harvested from repositories. This paper could be of great interest to repository managers.
Knoth, P. (2013) CORE: Aggregation Use Cases for Open Access. Demo at Joint Conference on Digital Libraries (JCDL 2013), Indianapolis, Indiana, United States.
This paper describes the use cases that must be supported by open access aggregators, it establishes the CORE use case and demonstrates the benefits of open access content aggregators.
Knoth, P. and Pontika, N. (2016). Aggregating Research Papers from Publishers' Systems to Support Text and Data Mining: Deliberate Lack of Interoperability or Not?, Workshop: INTEROP2016 at 10th Language Resources and Evaluation Conference..
This paper describes the technical challenges relating to machine interfaces, the interoperability issues on obtaining open access content and the complications of achieving a harmonisation across repositories’ and publishers’ systems.
Knoth, P. and Zdrahal, Z. (2011) CORE: Connecting Repositories in the Open Access Domain. CERN workshop on Innovations in Scholarly Communication (OAI7), Geneva, Switzerland.
Knoth, P., Robotka, V. and Zdrahal, Z. (2011). Connecting Repositories in the Open Access Domain using Text Mining and Semantic Data. International Conference on Theory and Practice of Digital Libraries 2011 (TPDL 2011), Berlin, Germany.
This paper describes the CORE system in its early stages with a focus on the original idea of the CORE recommender.
Petr Knoth, Lucas Anastasiou, Aristotelis Charalampous, Matteo Cancellieri, Samuel Pearce, Nancy Pontika, Vaclav Bayer (2017). ‘Towards effective research recommender systems for repositories’. Open Repositories 2017.
In this paper, we argue why and how the integration of recommender systems for research can enhance the functionality and user experience in repositories. We present the latest technical innovations in the CORE Recommender, which provides research article recommendations across the global network of repositories and journals. The CORE Recommender has been recently redeveloped and released into production in the CORE system and has also been deployed in several third-party repositories. We explain the design choices of this unique system and the evaluation processes we have in place to continue raising the quality of the provided recommendations. By drawing on our experience, we discuss the main challenges in offering a state-of-the-art recommender solution for repositories. We highlight two of the key limitations of the current repository infrastructure with respect to developing research recommender systems: 1) the lack of a standardised protocol and capabilities for exposing anonymised user-interaction logs, which represent critically important input data for recommender systems based on collaborative filtering and 2) the lack of a voluntary global sign-on capability in repositories, which would enable the creation of personalised recommendation and notification solutions based on past user interactions.
Knoth, P., Novotny, J. and Zdrahal, Z. (2010). Automatic generation of inter-passage links based on semantic similarity, The 23rd International Conference on Computational Linguistics (COLING 2010), Beijing, China.
This paper describes the algorithm that was used in the original version of the CORE recommender.
CORE Repositories Dashboard
Pontika, N., Knoth, P., Cancellieri, M. and Pearce, S. (2016). Developing Infrastructure to Support Closer Collaboration of Aggregators with Open Repositories, LIBER Quarterly, 25, 4.
This paper presents the CORE Repositories Dashboard, a tool designed primarily for repository managers. It describes how the Dashboard improves the quality of the harvested papers, advances the collaboration between the repository managers and CORE, enables a straightforward management of their collections and enhances the transparency of the harvested content.
CORE and Download Statistics
Pearce, S. and Pontika, N. (2016). Integration of the IRUS-UK Statistics in the CORE Repositories Dashboard. Poster. Open Repositories 2016 (OR2016).
This poster presents the integration of the IRUS-UK service with the CORE Repositories Dashboard tool, which enables repository managers access reliable download statistics of the full-text papers harvested by CORE.
Knoth, P., Anastasiou, L. and Pearce, S. (2014). My repository is being aggregated: a blessing or a curse?, Open Repositories 2014 (OR 2014), Helsinki, Finland.
This paper describes the collaboration between aggregators and repositories in terms of sharing download usage statistics.