Currently browsing: Items authored or edited by Matteo Cancellieri https://orcid.org/0000-0002-9558-9772

Brinken, Helene; Kuchma, Iryna; Kalaitzi, Vaso; Davidson, Joy; Pontika, Nancy; Cancellieri, Matteo; Correia, Antonia; Carvalho, Jose; Melero, Reme; Kastelic, Damjana; Borba, Filomena; Lenaki, Katerina; Toelch, Ulf; Zourou, Katerina; Knoth, Petr; Schmidt, Birgit and Rodrigues, Eloy (2019). A Case Report: Building communities with training and resources for Open Science trainers. LIBER Quarterly, 29(1) pp. 1–36.

• Download Published Version (PDF / 3MB)

Cancellieri, Matteo; Pontika, Nancy; Pearce, Samuel; Anastasiou, Lucas and Knoth, Petr (2017). Building scalable digital library ingestion pipelines using microservices. In: MSTR 2017: 11th International Conference on Metadata and Semantics Research, 28 Nov - 1 Dec 2017, Tallinn, Estonia.

• Download Accepted Manuscript (PDF / 205kB)

Knoth, Petr; Herrmannova, Drahomira; Cancellieri, Matteo; Anastasiou, Lucas; Pontika, Nancy; Pearce, Samuel; Gyawali, Bikash and Pride, David (2023). CORE: A Global Aggregation Service for Open Access Papers. Scientific Data, 10(1) p. 366.

• Download Published Version (PDF / 2MB)

Knoth, Petr; Anastasiou, Lucas; Cancellieri, Matteo; Gyawali, Bikash; Herrmannova, Drahomira; Misak, Sergei; Huba, Alexander; Pearce, Samuel; Pontika, Nancy; Rumyanceva, Svetlana and Tarasiuk, Maria (2019). Aggregating The World's Open Access Research Papers.

• Download Research Poster (PDF / 1MB)

Knoth, Petr; Anastasiou, Lucas; Charalampous, Aristotelis; Cancellieri, Matteo; Pearce, Samuel; Pontika, Nancy and Bayer, Vaclav (2017). Towards effective research recommender systems for repositories. In: Open Repositories 2017, 26-30 Jun 2017, Brisbane, Australia.

• Download Accepted Manuscript (PDF / 235kB)

Pride, David; Cancellieri, Matteo and Knoth, Petr (2023). CORE-GPT: Combining Open Access Research and Large Language Models for Credible, Trustworthy Question Answering. In: Linking Theory and Practice of Digital Libraries. TPDL 2023. Lecture Notes in Computer Science, vol 14241. (Alonso, Omar; Cousijn, Helena; Silvello, Gianmaria; Marrero, Mónica; Teixeira Lopes, Carla and Marchesin, Stefano eds.), pp. 146–159.

• Download Accepted Manuscript (PDF / 2MB)

Pride, David; Cancellieri, Matteo and Knoth, Petr (2022). Cui Bono? Cumulative Advantage in Open Access Publishing. In: Linking Theory and Practice of Digital Libraries (Silvello, Gianmaria; Corcho, Oscar; Manghi, Paolo; Di Nunzio, Giorgio Maria; Golub, Koraljka; Ferro, Nicola and Poggi, Antonella eds.), Lecture Notes in Computer Science, Springer, Cham, pp. 260–265.

• Download Accepted Manuscript (PDF / 738kB)

Pontika, Nancy; Knoth, Petr; Anastasiou, Lucas; Charalampous, Aristotelis; Cancellieri, Matteo; Pearce, Samuel and Bayer, Vaclav (2017). The uptake of the CORE recommender in repositories.

• Download Published Version (PDF / 227kB)

Pontika, Nancy; Knoth, Petr; Cancellieri, Matteo and Pearce, Samuel (2016). Developing Infrastructure to Support Closer Collaboration of Aggregators with Open Repositories. LIBER Quarterly, 25(4) pp. 172–188.

• Download Published Version (PDF / 2MB)

Pontika, Nancy; Knoth, Petr; Cancellieri, Matteo and Pearce, Samuel (2015). Fostering Open Science to Research using a Taxonomy and an eLearning Portal. In: iKnow: 15th International Conference on Knowledge Technologies and Data Driven Business, 21-22 Oct 2015, Graz, Austria.

• Download Accepted Manuscript (PDF / 461kB)

Thelwall, Mike; Kousha, Kayvan; Wilson, Paul; Makita, Meiko; Abdoli, Mahshid; Stuart, Emma; Levitt, Jonathan; Knoth, Petr and Cancellieri, Matteo (2023). Predicting article quality scores with machine learning: The UK Research Excellence Framework. Quantitative Science Studies, 4(2) pp. 547–573.

• Download Published Version (PDF / 1MB)